Results for 'Credibility, Evidence, Full Bayesian Significance Test, Relative surprise, Structural models, Covariance structure.'

972 found
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  1. Full Bayesian Significance Test Applied to Multivariate Normal Structure Models.Marcelo de Souza Lauretto, Carlos Alberto de Braganca Pereira, Julio Michael Stern & Shelemiahu Zacks - 2003 - Brazilian Journal of Probability and Statistics 17:147-168.
    Abstract: The Pull Bayesian Significance Test (FBST) for precise hy- potheses is applied to a Multivariate Normal Structure (MNS) model. In the FBST we compute the evidence against the precise hypothesis. This evi- dence is the probability of the Highest Relative Surprise Set (HRSS) tangent to the sub-manifold (of the parameter space) that defines the null hypothesis. The MNS model we present appears when testing equivalence conditions for genetic expression measurements, using micro-array technology.
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  2. FBST for Covariance Structures of Generalized Gompertz Models.Julio Michael Stern & Viviane Teles de Lucca Maranhao - 2012 - AIP Conference Proceedings 1490:202-211.
    The Gompertz distribution is commonly used in biology for modeling fatigue and mortality. This paper studies a class of models proposed by Adham and Walker, featuring a Gompertz type distribution where the dependence structure is modeled by a lognormal distribution, and develops a new multivariate formulation that facilitates several numerical and computational aspects. This paper also implements the FBST, the Full Bayesian Significance Test for pertinent sharp (precise) hypotheses on the lognormal covariance structure. The FBST’s e-value, (...)
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  3.  25
    The e-value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences.Julio Michael Stern, Carlos Alberto de Braganca Pereira, Marcelo de Souza Lauretto, Luis Gustavo Esteves, Rafael Izbicki, Rafael Bassi Stern & Marcio Alves Diniz - unknown
    This article gives a conceptual review of the e-value, ev(H|X) – the epistemic value of hypothesis H given observations X. This statistical significance measure was developed in order to allow logically coherent and consistent tests of hypotheses, including sharp or precise hypotheses, via the Full Bayesian Significance Test (FBST). Arguments of analysis allow a full characterization of this statistical test by its logical or compositional properties, showing a mutual complementarity between results of mathematical statistics and (...)
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  4. Paraconsistent Sensitivity Analysis for Bayesian Significance Tests.Julio Michael Stern - 2004 - Lecture Notes in Artificial Intelligence 3171:134-143.
    In this paper, the notion of degree of inconsistency is introduced as a tool to evaluate the sensitivity of the Full Bayesian Significance Test (FBST) value of evidence with respect to changes in the prior or reference density. For that, both the definition of the FBST, a possibilistic approach to hypothesis testing based on Bayesian probability procedures, and the use of bilattice structures, as introduced by Ginsberg and Fitting, in paraconsistent logics, are reviewed. The computational and (...)
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  5. Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses.Julio Michael Stern & Carlos Alberto de Braganca Pereira - 1999 - Entropy 1 (1):69-80.
    A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayesian alternative to significance tests or, equivalently, to p-values. In fact, a set is defined in the parameter space and the posterior probability, its credibility, is evaluated. This set is the “Highest Posterior Density Region” that is “tangent” to the set that defines the null hypothesis. Our measure of evidence is the complement of the credibility of the “tangent” region.
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  6. Decoupling, Sparsity, Randomization, and Objective Bayesian Inference.Julio Michael Stern - 2008 - Cybernetics and Human Knowing 15 (2):49-68..
    Decoupling is a general principle that allows us to separate simple components in a complex system. In statistics, decoupling is often expressed as independence, no association, or zero covariance relations. These relations are sharp statistical hypotheses, that can be tested using the FBST - Full Bayesian Significance Test. Decoupling relations can also be introduced by some techniques of Design of Statistical Experiments, DSEs, like randomization. This article discusses the concepts of decoupling, randomization and sparsely connected statistical (...)
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  7. The Rules of Logic Composition for the Bayesian Epistemic e-Values.Wagner Borges & Julio Michael Stern - 2007 - Logic Journal of the IGPL 15 (5-6):401-420.
    In this paper, the relationship between the e-value of a complex hypothesis, H, and those of its constituent elementary hypotheses, Hj, j = 1… k, is analyzed, in the independent setup. The e-value of a hypothesis H, ev, is a Bayesian epistemic, credibility or truth value defined under the Full Bayesian Significance Testing mathematical apparatus. The questions addressed concern the important issue of how the truth value of H, and the truth function of the corresponding FBST (...)
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  8. Bayesian Test of Significance for Conditional Independence: The Multinomial Model.Julio Michael Stern, Pablo de Morais Andrade & Carlos Alberto de Braganca Pereira - 2014 - Entropy 16:1376-1395.
    Conditional independence tests have received special attention lately in machine learning and computational intelligence related literature as an important indicator of the relationship among the variables used by their models. In the field of probabilistic graphical models, which includes Bayesian network models, conditional independence tests are especially important for the task of learning the probabilistic graphical model structure from data. In this paper, we propose the full Bayesian significance test for tests of conditional independence for discrete (...)
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  9. A Weibull Wearout Test: Full Bayesian Approach.Julio Michael Stern, Telba Zalkind Irony, Marcelo de Souza Lauretto & Carlos Alberto de Braganca Pereira - 2001 - Reliability and Engineering Statistics 5:287-300.
    The Full Bayesian Significance Test (FBST) for precise hypotheses is presented, with some applications relevant to reliability theory. The FBST is an alternative to significance tests or, equivalently, to p-ualue.s. In the FBST we compute the evidence of the precise hypothesis. This evidence is the probability of the complement of a credible set "tangent" to the sub-manifold (of the para,rreter space) that defines the null hypothesis. We use the FBST in an application requiring a quality control (...)
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  10. The Full Bayesian Significance Test for Mixture Models: Results in Gene Expression Clustering.Julio Michael Stern, Marcelo de Souza Lauretto & Carlos Alberto de Braganca Pereira - 2008 - Genetics and Molecular Research 7 (3):883-897.
    Gene clustering is a useful exploratory technique to group together genes with similar expression levels under distinct cell cycle phases or distinct conditions. It helps the biologist to identify potentially meaningful relationships between genes. In this study, we propose a clustering method based on multivariate normal mixture models, where the number of clusters is predicted via sequential hypothesis tests: at each step, the method considers a mixture model of m components (m = 2 in the first step) and tests if (...)
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  11.  41
    Theory and Evidence. [REVIEW]A. F. M. - 1980 - Review of Metaphysics 34 (1):135-137.
    After a chapter which is an introduction to and summary of the rest of the book, chapter 2 begins by criticizing various attempts to do away with theories, such as the Reichenbach-Salmon conception of theoretical truth in terms of observational consequences, and the Ramsey strategy of replacing first-order theoretical sentences by second-order nontheoretical ones; it then argues against hypothetico-deductivist theories of confirmation on the grounds that they are unable to handle the relevance of evidence to theory, whether or not other (...)
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  12.  17
    Drop-the-p: Bayesian CFA of the Multidimensional Scale of Perceived Social Support in Australia.Pedro Henrique Ribeiro Santiago, Adrian Quintero, Dandara Haag, Rachel Roberts, Lisa Smithers & Lisa Jamieson - 2021 - Frontiers in Psychology 12.
    AimWe aimed to investigate whether the 12-item Multidimensional Scale of Perceived Social Support (MSPSS) constitutes a valid and reliable measure of social support for the general adult Australian population.MethodsData were from Australia’s National Survey of Adult Oral Health 2004–2006 and included 3899 participants aged 18 years old and over. The psychometric properties were evaluated with Bayesian confirmatory factor analysis. One-, two-, and three-factor (Significant Other, Family and Friends) structures were tested. Model fit was assessed with the posterior predictivep-value (PPPχ2), (...)
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  13. Bayesian Evidence Test for Precise Hypotheses.Julio Michael Stern - 2003 - Journal of Statistical Planning and Inference 117 (2):185-198.
    The full Bayesian signi/cance test (FBST) for precise hypotheses is presented, with some illustrative applications. In the FBST we compute the evidence against the precise hypothesis. We discuss some of the theoretical properties of the FBST, and provide an invariant formulation for coordinate transformations, provided a reference density has been established. This evidence is the probability of the highest relative surprise set, “tangential” to the sub-manifold (of the parameter space) that defines the null hypothesis.
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  14. Absolute objects, counterexamples and general covariance.J. Brian Pitts - unknown
    The Anderson-Friedman absolute objects program has been a favorite analysis of the substantive general covariance that supposedly characterizes Einstein's General Theory of Relativity (GTR). Absolute objects are the same locally in all models (modulo gauge freedom). Substantive general covariance is the lack of absolute objects. Several counterexamples have been proposed, however, including the Jones-Geroch dust and Torretti constant curvature spaces counterexamples. The Jones-Geroch dust case, ostensibly a false positive, is resolved by noting that holes in the dust in (...)
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  15. Non-Arbitrage In Financial Markets: A Bayesian Approach for Verification.Julio Michael Stern & Fernando Valvano Cerezetti - 2012 - AIP Conference Proceedings 1490:87-96.
    The concept of non-arbitrage plays an essential role in finance theory. Under certain regularity conditions, the Fundamental Theorem of Asset Pricing states that, in non-arbitrage markets, prices of financial instruments are martingale processes. In this theoretical framework, the analysis of the statistical distributions of financial assets can assist in understanding how participants behave in the markets, and may or may not engender arbitrage conditions. Assuming an underlying Variance Gamma statistical model, this study aims to test, using the FBST - (...) Bayesian Significance Test, if there is a relevant price difference between essentially the same financial asset traded at two distinct locations. Specifically, we investigate and compare the behavior of call options on the BOVESPA Index traded at (a) the Equities Segment and (b) the Derivatives Segment of BM&FBovespa. Our results seem to point out significant statistical differences. To what extent this evidence is actually the expression of perennial arbitrage opportunities is still an open question. (shrink)
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  16.  58
    Bayesian estimation and testing of structural equation models.Richard Scheines - unknown
    The Gibbs sampler can be used to obtain samples of arbitrary size from the posterior distribution over the parameters of a structural equation model (SEM) given covariance data and a prior distribution over the parameters. Point estimates, standard deviations and interval estimates for the parameters can be computed from these samples. If the prior distribution over the parameters is uninformative, the posterior is proportional to the likelihood, and asymptotically the inferences based on the Gibbs sample are the same (...)
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  17. Cointegration: Bayesian Significance Test Communications in Statistics.Julio Michael Stern, Marcio Alves Diniz & Carlos Alberto de Braganca Pereira - 2012 - Communications in Statistics 41 (19):3562-3574.
    To estimate causal relationships, time series econometricians must be aware of spurious correlation, a problem first mentioned by Yule (1926). To deal with this problem, one can work either with differenced series or multivariate models: VAR (VEC or VECM) models. These models usually include at least one cointegration relation. Although the Bayesian literature on VAR/VEC is quite advanced, Bauwens et al. (1999) highlighted that “the topic of selecting the cointegrating rank has not yet given very useful and convincing results”. (...)
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  18.  75
    Non-Bayesian Inference: Causal Structure Trumps Correlation.Bénédicte Bes, Steven Sloman, Christopher G. Lucas & Éric Raufaste - 2012 - Cognitive Science 36 (7):1178-1203.
    The study tests the hypothesis that conditional probability judgments can be influenced by causal links between the target event and the evidence even when the statistical relations among variables are held constant. Three experiments varied the causal structure relating three variables and found that (a) the target event was perceived as more probable when it was linked to evidence by a causal chain than when both variables shared a common cause; (b) predictive chains in which evidence is a cause of (...)
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  19. FBST Regularization and Model Selection.Julio Michael Stern & Carlos Alberto de Braganca Pereira - 2001 - In Julio Michael Stern & Carlos Alberto de Braganca Pereira (eds.), Annals of the 7th International Conference on Information Systems Analysis and Synthesis. Orlando FL: pp. 7: 60-65..
    We show how the Full Bayesian Significance Test (FBST) can be used as a model selection criterion. The FBST was presented by Pereira and Stern as a coherent Bayesian significance test. Key Words: Bayesian test; Evidence; Global optimization; Information; Model selection; Numerical integration; Posterior density; Precise hypothesis; Regularization. AMS: 62A15; 62F15; 62H15.
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  20.  20
    Factor Structure of the “Top Ten” Positive Emotions of Barbara Fredrickson.Leopold Helmut Otto Roth & Anton-Rupert Laireiter - 2021 - Frontiers in Psychology 12:641804.
    In order to contribute to the consolidation in the field ofPositive Psychology, we reinvestigated the factor structure of top 10 positive emotions of Barbara Fredrickson. Former research in experimental settings resulted in a three-cluster solution, which we tested withexploratoryandconfirmatorymethodology against different factor models. Within our non-experimental data (N= 312), statistical evidence is presented, advocating for a single factor model of the 10 positive emotions. Different possible reasons for the deviating results are discussed, as well as the theoretical significance to (...)
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  21. Can a Significance Test Be Genuinely Bayesian?Julio Michael Stern, Carlos Alberto de Braganca Pereira & Sergio Wechsler - 2008 - Bayesian Analysis 3 (1):79-100.
    The Full Bayesian Significance Test, FBST, is extensively reviewed. Its test statistic, a genuine Bayesian measure of evidence, is discussed in detail. Its behavior in some problems of statistical inference like testing for independence in contingency tables is discussed.
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  22.  8
    Play in Cognitive Development: From Rational Constructivism to Predictive Processing.Marc M. Andersen & Julian Kiverstein - forthcoming - Topics in Cognitive Science.
    It is widely believed that play and curiosity are key ingredients as children develop models of the world. There is also an emerging consensus that children are Bayesian learners who combine their structured prior beliefs with estimations of the likelihood of new evidence to infer the most probable model of the world. An influential school of thought within developmental psychology, rational constructivism, combines these two ideas to propose that children learn intuitive theories of how the world works in part (...)
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  23. Physik und Ontologie – oder Die 'Ontologiebeladenheit' der Epistemologie und die 'Realismusdebatte'.Rudolf Lindpointner - manuscript
    The question of what ontological insights can be gained from the knowledge of physics (keyword: ontic structural realism) cannot obviously be completely separated from the view of physics as a science from an epistemological perspective. This is also visible in the debate about 'scientific realism'. This debate makes it clear, in the form of the importance of perception as a criterion for the assertion of existence in relation to the 'theoretical entities' of physics, that epistemology itself is 'ontologically loaded'. (...)
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  24.  46
    Discovering syntactic deep structure via Bayesian statistics.Jason Eisner - 2002 - Cognitive Science 26 (3):255-268.
    In the Bayesian framework, a language learner should seek a grammar that explains observed data well and is also a priori probable. This paper proposes such a measure of prior probability. Indeed it develops a full statistical framework for lexicalized syntax. The learner's job is to discover the system of probabilistic transformations (often called lexical redundancy rules) that underlies the patterns of regular and irregular syntactic constructions listed in the lexicon. Specifically, the learner discovers what transformations apply in (...)
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  25.  16
    Syncopation as Probabilistic Expectation: Conceptual, Computational, and Experimental Evidence.Noah R. Fram & Jonathan Berger - 2023 - Cognitive Science 47 (12):e13390.
    Definitions of syncopation share two characteristics: the presence of a meter or analogous hierarchical rhythmic structure and a displacement or contradiction of that structure. These attributes are translated in terms of a Bayesian theory of syncopation, where the syncopation of a rhythm is inferred based on a hierarchical structure that is, in turn, learned from the ongoing musical stimulus. Several experiments tested its simplest possible implementation, with equally weighted priors associated with different meters and independence of auditory events, which (...)
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  26.  47
    Evidence in Default: Rejecting Default Models of Animal Minds.Mike Dacey - 2023 - British Journal for the Philosophy of Science 74 (2):291-312.
    Comparative psychology experiments typically test a null statistical hypothesis against an alternative. Coupled with Morgan’s canon, this is often taken to imply that the model positing the simpler psychological capacity should be treated as a ‘default’ that must be ruled out before any other model can be accepted. It has been posited that this practice neglects evidence. I argue that the problem is deeper, including the way it structures the evaluation of evidence that is considered; it frames model choice around (...)
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  27. Asylum, Credible Fear Tests, and Colonial Violence.Elena Ruíz & Ezgi Sertler - manuscript
    A credible fear test is an in-depth interview process given to undocumented people of any age arriving at a U.S. port of entry to determine qualification for asylum-seeking. Credible fear tests as a typical immigration procedure demonstrate not only what structural epistemic violence looks like but also how this violence lives in and through the design of asylum policy. Key terms of credible fear tests such as “significant possibility,” “evidence,” “consistency,” and “credibility” can never be neutral in the context (...)
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  28. Plato’s Metaphysical Development before Middle Period Dialogues.Mohammad Bagher Ghomi - manuscript
    Regarding the relation of Plato’s early and middle period dialogues, scholars have been divided to two opposing groups: unitarists and developmentalists. While developmentalists try to prove that there are some noticeable and even fundamental differences between Plato’s early and middle period dialogues, the unitarists assert that there is no essential difference in there. The main goal of this article is to suggest that some of Plato’s ontological as well as epistemological principles change, both radically and fundamentally, between the early and (...)
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  29. FBST for a Generalized Poisson Distribution.Julio Michael Stern, Paulo do Canto Hubert & Marcelo de Souza Lauretto - 2009 - AIP Conference Proceedings 1193:210-217.
    The Generalized Poisson Distribution (GPD) adds an extra parameter to the usual Poisson distribution. This parameter induces a loss of homogeneity in the stochastic processes modeled by the distribution. Thus, the generalized distribution becomes an useful model for counting processes where the occurrence of events is not homogeneous. This model creates the need for an inferential procedure, to test for the value of this extra parameter. The FBST (Full Bayesian Significance Test) is a Bayesian hypotheses test (...)
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  30. Genuine Bayesian Multiallelic Significance Test for the Hardy-Weinberg Equilibrium Law.Julio Michael Stern, Carlos Alberto de Braganca Pereira, Fabio Nakano & Martin Ritter Whittle - 2006 - Genetics and Molecular Research 5 (4):619-631.
    Statistical tests that detect and measure deviation from the Hardy-Weinberg equilibrium (HWE) have been devised but are limited when testing for deviation at multiallelic DNA loci is attempted. Here we present the full Bayesian significance test (FBST) for the HWE. This test depends neither on asymptotic results nor on the number of possible alleles for the particular locus being evaluated. The FBST is based on the computation of an evidence index in favor of the HWE hypothesis. A (...)
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  31.  12
    Predicting Students' Attitudes Toward Collaboration: Evidence From Structural Equation Model Trees and Forests.Jialing Li, Minqiang Zhang, Yixing Li, Feifei Huang & Wei Shao - 2021 - Frontiers in Psychology 12.
    Numerous studies have shed some light on the importance of associated factors of collaborative attitudes. However, most previous studies aimed to explore the influence of these factors in isolation. With the strategy of data-driven decision making, the current study applied two data mining methods to elucidate the most significant factors of students' attitudes toward collaboration and group students to draw a concise model, which is beneficial for educators to focus on key factors and make effective interventions at a lower cost. (...)
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  32.  19
    On the nexus between code of business ethics, human resource supply chain management and corporate culture: evidence from MENA countries.Moh'D. Anwer Al-Shboul - forthcoming - Journal of Information, Communication and Ethics in Society.
    Purpose This paper aims to analyze the relationships between human resource supply chain management (HRSCM), corporate culture (CC) and the code of business ethics (CBE) in the MENA region. Design/methodology/approach In this study, the author adopted a quantitative approach through an online Google Form survey for the data-gathering process. All questionnaires were distributed to the manufacturing and service firms that are listed in the Chambers of the Industries of Jordan, Saudi Arabia, Morocco and Egypt in the MENA region using a (...)
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  33.  34
    Balancing information-structure and semantic constraints on construction choice: building a computational model of passive and passive-like constructions in Mandarin Chinese.Ben Ambridge & Li Liu - 2021 - Cognitive Linguistics 32 (3):349-388.
    A central tenet of cognitive linguistics is that adults’ knowledge of language consists of a structured inventory of constructions, including various two-argument constructions such as the active, the passive and “fronting” constructions. But how do speakers choose which construction to use for a particular utterance, given constraints such as discourse/information structure and the semantic fit between verb and construction? The goal of the present study was to build a computational model of this phenomenon for two-argument constructions in Mandarin. First, we (...)
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  34.  31
    Factorial Structure and Preliminary Validation of the Schema Mode Inventory for Eating Disorders (SMI-ED).Susan G. Simpson, Giada Pietrabissa, Alessandro Rossi, Tahnee Seychell, Gian Mauro Manzoni, Calum Munro, Julian B. Nesci & Gianluca Castelnuovo - 2018 - Frontiers in Psychology 9:314057.
    Objective: The aim of this study was to examine the psychometric properties and factorial structure of the Schema Mode Inventory for Eating Disorders (SMI-ED) in a disordered eating population. Method: 573 participants with disordered eating patterns as measured by the Eating Disorder Examination Questionnaire (EDE-Q) completed the 190-item adapted version of the Schema Mode Inventory (SMI). The new SMI-ED was developed by clinicians/researchers specializing in the treatment of eating disorders, through combining items from the original SMI with a set of (...)
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  35. A General Structure for Legal Arguments About Evidence Using Bayesian Networks.Norman Fenton, Martin Neil & David A. Lagnado - 2013 - Cognitive Science 37 (1):61-102.
    A Bayesian network (BN) is a graphical model of uncertainty that is especially well suited to legal arguments. It enables us to visualize and model dependencies between different hypotheses and pieces of evidence and to calculate the revised probability beliefs about all uncertain factors when any piece of new evidence is presented. Although BNs have been widely discussed and recently used in the context of legal arguments, there is no systematic, repeatable method for modeling legal arguments as BNs. Hence, (...)
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  36. Significance Tests, Belief Calculi, and Burden of Proof in Legal and Scientific Discourse.Julio Michael Stern - 2003 - Frontiers in Artificial Intelligence and Applications 101:139-147.
    We review the definition of the Full Bayesian Significance Test (FBST), and summarize its main statistical and epistemological characteristics. We review also the Abstract Belief Calculus (ABC) of Darwiche and Ginsberg, and use it to analyze the FBST’s value of evidence. This analysis helps us understand the FBST properties and interpretation. The definition of value of evidence against a sharp hypothesis, in the FBST setup, was motivated by applications of Bayesian statistical reasoning to legal matters where (...)
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  37.  27
    The Age Structure, Stringency Policy, Income, and Spread of Coronavirus Disease 2019: Evidence From 209 Countries.Faik Bilgili, Munis Dundar, Sevda Kuşkaya, Daniel Balsalobre Lorente, Fatma Ünlü, Pelin Gençoğlu & Erhan Muğaloğlu - 2021 - Frontiers in Psychology 11.
    This article aims at answering the following questions: What is the influence of age structure on the spread of coronavirus disease 2019? What can be the impact of stringency policy on the spread of COVID-19? What might be the quantitative effect of development levelincome and number of hospital beds on the number of deaths due to the COVID-19 epidemic? By employing the methodologies of generalized linear model, generalized moments method, and quantile regression models, this article reveals that the shares of (...)
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  38.  24
    Structure, Change, and Survival: A Response to Winthrop-Young.Franco Moretti - 1999 - Diacritics 29 (2):41-42.
    In lieu of an abstract, here is a brief excerpt of the content:Structure, Change, and Survival: A Response To Winthrop-youngFranco Moretti (bio)Geoffrey Winthrop-Young’s is the sort of review article one dreams of: long, intelligent, and very generous. So, first of all, thanks. And thanks also for the clarity with which disagreements are expressed. In the same spirit, here is a brief response.The first area of disagreement comes early in the article, when Winthrop-Young claims that in the Atlas, “the here and (...)
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  39.  58
    Significance of the Nested Structure in Multiplex World Trade Networks.Zhuo-Ming Ren, Xiao Pan & Yi-Cheng Zhang - 2020 - Complexity 2020:1-9.
    The hierarchically nested structure is widely observed in a broad range of real systems, encompassing ecological networks, economic and trade networks, communication networks, among many others. However, there remain statistical challenges of the prevalence of nestedness. In response to this problem, we focus on the effect of incomplete information and the inputted matrix size, the role of network density and degree sequences, and the relevance of degree-degree correlation to conduct systematic research on the significance of the nested structure according (...)
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  40.  33
    The classification of psychiatric disorders according to DSM-5 deserves an internationally standardized psychological test battery on symptom level.Dalena Van Heugten - Van Der Kloet & Ton van Heugten - 2015 - Frontiers in Psychology 6:153486.
    Failings of a categorical systemFor decades, standardized classification systems have attempted to define psychiatric disorders in our mental health care system, with the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association (APA), 2013) and International Statistical Classification of Diseases and Related Health Problems 10th revision (ICD-10; World Health Organization, 2010) being internationally best-known. One of the major advantages of the DSM must be that it has seriously diminished the international linguistic confusion regarding psychiatric disorders. Since (...)
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  41. A Straightforward Multiallelic Significance Test for the Hardy-Weinberg Equilibrium Law.Julio Michael Stern, Marcelo de Souza Lauretto, Fabio Nakano, Silvio Rodrigues Faria & Carlos Alberto de Braganca Pereira - 2009 - Genetics and Molecular Biology 32 (3):619-625.
    Much forensic inference based upon DNA evidence is made assuming Hardy-Weinberg Equilibrium (HWE) for the genetic loci being used. Several statistical tests to detect and measure deviation from HWE have been devised, and their limitations become more obvious when testing for deviation within multiallelic DNA loci. The most popular methods-Chi-square and Likelihood-ratio tests-are based on asymptotic results and cannot guarantee a good performance in the presence of low frequency genotypes. Since the parameter space dimension increases at a quadratic rate on (...)
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  42. Comment on "the structure of a scientific paper" by Frederick Suppe.Allan Franklin & Colin Howson - 1998 - Philosophy of Science 65 (3):411-416.
    On the basis of an analysis of a single paper on plate tectonics, a paper whose actual content is nowhere in evidence, Frederick Suppe concludes that no standard model of confirmation—hypothetico-deductive, Bayesian-inductive, or inference to the best explanation—can account for the structure of a scientific paper that reports an experimental result. He further argues on the basis of a survey of scientific papers, a survey whose data and results are also absent, that papers which have a rather stringent length (...)
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  43. Bayesian Variations: Essays on the Structure, Object, and Dynamics of Credence.Aron Vallinder - 2018 - Dissertation, London School of Economics
    According to the traditional Bayesian view of credence, its structure is that of precise probability, its objects are descriptive propositions about the empirical world, and its dynamics are given by conditionalization. Each of the three essays that make up this thesis deals with a different variation on this traditional picture. The first variation replaces precise probability with sets of probabilities. The resulting imprecise Bayesianism is sometimes motivated on the grounds that our beliefs should not be more precise than the (...)
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  44.  61
    Pearl before economists: the book of why and empirical economics.Nick Huntington-Klein - 2022 - Journal of Economic Methodology 29 (4):326-334.
    Structural Causal Modeling (SCM) is an approach to causal inference closely associated with Judea Pearl and given an accessible instroduction in [Pearl, J., & Mackenzie, D. (2018). The book of why: The new science of cause and effect. Basic Books]. It is highly popular outside of economics, but has seen relatively little application within it. This paper briefly introduces the main concepts of SCM through the lens of whether applied economists are likely to find marginal benefit in these methods (...)
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  45.  81
    Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers.D. Sobel - 2004 - Cognitive Science 28 (3):303-333.
    Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children recognizing relevant associations among events, and responding based on those associations. To examine this claim, in Experiments 1 and 2, children were introduced to a “blicket detector,” a machine that lit up and played music when certain objects were placed upon it. Children observed patterns of contingency between objects and the machine's activation that (...)
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  46.  23
    Business Model Involvement, Adaptive Capacity, and the Triple Bottom Line at the Base of the Pyramid.Jefferson La Falce, Martin Klein & Ernst Verwaal - 2021 - Journal of Business Ethics 181 (3):607-621.
    Almost two decades ago, Prahalad and Hammond [Harv Bus Rev, 80(9):48–59, 2002] introduced the base/bottom of the pyramid (BOP) approach to profitably serving the poor with business models adapted from developed markets while alleviating poverty. In response to disappointing results and ethical criticism, the BOP approach evolved from a just-for-profit approach with a passive role of the poor to an inclusive development approach that integrates the principles of the triple bottom line. A recent review of the BOP literature [Dembek et (...)
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  47.  18
    A Naturalistic Study of Norm Conformity, Punishment, and the Veneration of the Dead at Texas A&M University, USA.Michael Alvard & Katherine Daiy - 2021 - Human Nature 32 (3):652-675.
    Culturally inherited institutional norms structure much of human social life. Successfully replicating institutions train their current members to behave in the generally adaptive ways that served past members. Ancestor veneration is a well-known manifestation of this phenomenon whereby deference is conferred to prestigious past members who are used as cultural models. Such norms of respect may be maintained by punishment based on evidence from theory and laboratory experiments, but there is little observational evidence to show that punishment is commonly used. (...)
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  48.  15
    The Scoring Challenge of Emotional Intelligence Ability Tests: A Confirmatory Factor Analysis Approach to Model Substantive and Method Effects Using Raw Item Scores.Veerle E. I. Huyghe, Arpine Hovasapian & Johnny R. J. Fontaine - 2022 - Frontiers in Psychology 13.
    The internal structure of ability emotional intelligence tests at item level has been hardly studied, and if studied often the predicted structure did not show. In the present study, an a priori model for responses to EI ability items using Likert response scales with a Situational Judgement Test format is investigated with confirmatory factor analysis. The model consists of a target EI ability factor, an acquiescence factor, which is a method factor induced by the Likert response scales, and design-based error (...)
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  49.  13
    The Structure of Mental Elasticity Education for Children in Plight Using Deep Learning.Xuanlu Sun & Xiaoyang Yang - 2022 - Frontiers in Psychology 12.
    The purpose is to solve the problem that the current research on the impact of the microstructure of mental elasticity and its constituent factors on the development of the mental elasticity of children is not comprehensive, and the traditional artificial analysis method of mental problems has strong subjectivity and low accuracy. First, the structural equation model is used to study the microstructure of poor children's mental elasticity, and to explore the structural relationship and functional path between the mental (...)
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  50. Bayesian Networks and the Problem of Unreliable Instruments.Luc Bovens & Stephan Hartmann - 2002 - Philosophy of Science 69 (1):29-72.
    We appeal to the theory of Bayesian Networks to model different strategies for obtaining confirmation for a hypothesis from experimental test results provided by less than fully reliable instruments. In particular, we consider (i) repeated measurements of a single test consequence of the hypothesis, (ii) measurements of multiple test consequences of the hypothesis, (iii) theoretical support for the reliability of the instrument, and (iv) calibration procedures. We evaluate these strategies on their relative merits under idealized conditions and show (...)
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