UvA-DARE ( Digital Academic Repository ) Bayesian inference for psychology . Part

[1]  F. Dablander,et al.  How to become a Bayesian in eight easy steps: An annotated reading list , 2018, Psychonomic bulletin & review.

[2]  Felix D. Schönbrodt,et al.  Sequential Hypothesis Testing With Bayes Factors: Efficiently Testing Mean Differences , 2017, Psychological methods.

[3]  E. Wagenmakers,et al.  Three Insights from a Bayesian Interpretation of the One-Sided P Value , 2017, Educational and psychological measurement.

[4]  S. Lilienfeld,et al.  Psychological Science Under Scrutiny: Recent Challenges and Proposed Solutions , 2017 .

[5]  M. Lee,et al.  Bayesian Benefits for the Pragmatic Researcher , 2016 .

[6]  E. Wagenmakers,et al.  Harold Jeffreys’s default Bayes factor hypothesis tests: Explanation, extension, and application in psychology , 2016 .

[7]  Eric-Jan Wagenmakers,et al.  An evaluation of alternative methods for testing hypotheses, from the perspective of Harold Jeffreys , 2016 .

[8]  S. Goodman,et al.  Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations , 2016, European Journal of Epidemiology.

[9]  Scott D. Brown,et al.  A simple introduction to Markov Chain Monte–Carlo sampling , 2016, Psychonomic bulletin & review.

[10]  Eric-Jan Wagenmakers,et al.  Supplementary Material for "Bayesian Evidence Synthesis Can Reconcile Seemingly Inconsistent Results: The Case of Hotel Towel Reuse" , 2016 .

[11]  Eric-Jan Wagenmakers,et al.  Calibrated Bayes Factors Should Not Be Used: A Reply to Hoijtink, van Kooten, and Hulsker , 2016, Multivariate behavioral research.

[12]  James O. Berger,et al.  Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses , 2015, Journal of mathematical psychology.

[13]  Jeffrey N. Rouder,et al.  A power fallacy , 2015, Behavior research methods.

[14]  Alexander Etz,et al.  J. B. S. Haldane's Contribution to the Bayes Factor Hypothesis Test , 2015, 1511.08180.

[15]  D Stephen Lindsay,et al.  Replication in Psychological Science , 2015, Psychological science.

[16]  Jeffrey N. Rouder,et al.  The fallacy of placing confidence in confidence intervals , 2015, Psychonomic bulletin & review.

[17]  E. Wagenmakers,et al.  How to quantify the evidence for the absence of a correlation , 2015, Behavior research methods.

[18]  Christian P. Robert,et al.  The expected demise of the Bayes factor , 2015, 1506.08292.

[19]  Brian A. Nosek,et al.  Promoting an open research culture , 2015, Science.

[20]  E. Wagenmakers,et al.  Model Comparison and the Principle of Parsimony , 2015 .

[21]  D. Curran‐Everett,et al.  The fickle P value generates irreproducible results , 2015, Nature Methods.

[22]  Richard E. Lucas,et al.  On the association between loneliness and bathing habits: nine replications of Bargh and Shalev (2012) Study 1. , 2015, Emotion.

[23]  Jörg Rieskamp,et al.  An Introduction to Bayesian Hypothesis Testing for Management Research , 2015 .

[24]  Uri Simonsohn,et al.  Small Telescopes: Detectability and the Evaluation of Replication Results , 2014 .

[25]  K. Lintner,et al.  Impact factors. , 2014, International journal of cosmetic science.

[26]  Zoltan Dienes,et al.  Using Bayes to get the most out of non-significant results , 2014, Front. Psychol..

[27]  D. Lakens,et al.  Sailing From the Seas of Chaos Into the Corridor of Stability , 2014, Perspectives on psychological science : a journal of the Association for Psychological Science.

[28]  A. D. de Groot,et al.  The meaning of “significance” for different types of research [translated and annotated by Eric-Jan Wagenmakers, Denny Borsboom, Josine Verhagen, Rogier Kievit, Marjan Bakker, Angelique Cramer, Dora Matzke, Don Mellenbergh, and Han L. J. van der Maas] , 2014 .

[29]  M. Lee,et al.  Bayesian Cognitive Modeling: A Practical Course , 2014 .

[30]  Jeffrey N. Rouder,et al.  Optional stopping: No problem for Bayesians , 2014, Psychonomic bulletin & review.

[31]  Jeffrey N. Rouder,et al.  Why Hypothesis Tests Are Essential for Psychological Science , 2014, Psychological science.

[32]  Uri Simonsohn,et al.  Posterior-Hacking: Selective Reporting Invalidates Bayesian Results Also , 2014 .

[33]  V. Johnson Revised standards for statistical evidence , 2013, Proceedings of the National Academy of Sciences.

[34]  Jeffrey N. Rouder,et al.  Robust misinterpretation of confidence intervals , 2013, Psychonomic bulletin & review.

[35]  D. Sharpe Why the resistance to statistical innovations? Bridging the communication gap. , 2013, Psychological methods.

[36]  Brian A. Nosek,et al.  Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.

[37]  C. Chambers Registered Reports: A new publishing initiative at Cortex , 2013, Cortex.

[38]  S. Verhulst,et al.  Tall claims?: Sense and nonsense about the importance of height of US presidents , 2013 .

[39]  Jan-Willem Romeijn,et al.  The humble Bayesian: model checking from a fully Bayesian perspective. , 2013, The British journal of mathematical and statistical psychology.

[40]  Han L. J. van der Maas,et al.  Science Perspectives on Psychological an Agenda for Purely Confirmatory Research on Behalf Of: Association for Psychological Science , 2022 .

[41]  J. Rouder,et al.  Default Bayes Factors for Model Selection in Regression , 2012, Multivariate behavioral research.

[42]  H. Beek F1000Prime recommendation of False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant. , 2012 .

[43]  David J. Lunn,et al.  The BUGS Book: A Practical Introduction to Bayesian Analysis , 2013 .

[44]  Jeffrey N. Rouder,et al.  Default Bayes factors for ANOVA designs , 2012 .

[45]  D. Richards,et al.  Understanding uncertainty , 2012, Evidence-Based Dentistry.

[46]  M. Lee,et al.  Using priors to formalize theory: Optimal attention and the generalized context model , 2012, Psychonomic bulletin & review.

[47]  E. Wagenmakers,et al.  A default Bayesian hypothesis test for correlations and partial correlations , 2012, Psychonomic bulletin & review.

[48]  Sandy L. Zabell,et al.  Commentary on Alan M. Turing: The Applications of Probability to Cryptography , 2012, Cryptologia.

[49]  P. Grünwald,et al.  Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC–BIC dilemma , 2012 .

[50]  Jeffrey R. Spies,et al.  Scientific Utopia: II. Restructuring incentives and practices to promote truth over publishability , 2012, 1205.4251.

[51]  Jeffrey N Rouder,et al.  Assessing the dissociability of recollection and familiarity in recognition memory. , 2012, Journal of experimental psychology. Learning, memory, and cognition.

[52]  Brian A. Nosek,et al.  Scientific Utopia: I. Opening Scientific Communication , 2012, ArXiv.

[53]  Idit Shalev,et al.  The substitutability of physical and social warmth in daily life. , 2012, Emotion.

[54]  G. Loewenstein,et al.  Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling , 2012, Psychological science.

[55]  H. Hoijtink Informative Hypotheses: Theory and Practice for Behavioral and Social Scientists , 2011 .

[56]  W. Johnson,et al.  Must psychologists change the way they analyze their data? , 2011, Journal of personality and social psychology.

[57]  Jeffrey N. Rouder,et al.  Bayes factor approaches for testing interval null hypotheses. , 2011, Psychological methods.

[58]  Jeffrey N. Rouder,et al.  A Bayes factor meta-analysis of Bem’s ESP claim , 2011, Psychonomic bulletin & review.

[59]  Z. Dienes Bayesian Versus Orthodox Statistics: Which Side Are You On? , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[60]  E. Wagenmakers,et al.  Why psychologists must change the way they analyze their data: the case of psi: comment on Bem (2011). , 2011, Journal of personality and social psychology.

[61]  D. Bem Feeling the future: experimental evidence for anomalous retroactive influences on cognition and affect. , 2011, Journal of personality and social psychology.

[62]  Michael E J Masson,et al.  A tutorial on a practical Bayesian alternative to null-hypothesis significance testing , 2011, Behavior research methods.

[63]  M. Lee How cognitive modeling can benefit from hierarchical Bayesian models. , 2011 .

[64]  W. Vanpaemel,et al.  Prior sensitivity in theory testing: An apologia for the Bayes factor , 2010 .

[65]  Jonathan J. Forster,et al.  Default Bayesian model determination methods for generalised linear mixed models , 2010, Comput. Stat. Data Anal..

[66]  Jean-Michel Marin,et al.  Bayesian Core: A Practical Approach to Computational Bayesian Statistics , 2010 .

[67]  John K Kruschke,et al.  Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[68]  Leonhard Held,et al.  Hyper-$g$ priors for generalized linear models , 2010, 1008.1550.

[69]  J. Kruschke What to believe: Bayesian methods for data analysis , 2010, Trends in Cognitive Sciences.

[70]  E. Wagenmakers,et al.  Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method , 2010, Cognitive Psychology.

[71]  D. A. Fitts Improved stopping rules for the design of efficient small-sample experiments in biomedical and biobehavioral research , 2010, Behavior research methods.

[72]  Rens van de Schoot,et al.  Bayesian model selection of informative hypotheses for repeated measurements , 2009 .

[73]  Anders Winman,et al.  Linda is not a bearded lady: configural weighting and adding as the cause of extension errors. , 2009, Journal of experimental psychology. General.

[74]  J. Hilbe Data Analysis Using Regression and Multilevel/Hierarchical Models , 2009 .

[75]  C. Gallistel,et al.  The Importance of Proving the Null , 2022 .

[76]  Jeffrey N. Rouder,et al.  Bayesian t tests for accepting and rejecting the null hypothesis , 2009, Psychonomic bulletin & review.

[77]  C. Robert,et al.  Bayesian Modeling Using WinBUGS , 2009 .

[78]  Michael D. Lee,et al.  A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods , 2008, Cogn. Sci..

[79]  Jie W Weiss,et al.  Bayesian Statistical Inference for Psychological Research , 2008 .

[80]  Noah J. Goldstein,et al.  A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels , 2008 .

[81]  G. Cumming Replication and p Intervals: p Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better , 2008, Perspectives on psychological science : a journal of the Association for Psychological Science.

[82]  Jim Albert,et al.  Bayesian Computation with R , 2008 .

[83]  Jeffrey N. Rouder,et al.  A hierarchical process-dissociation model. , 2008, Journal of experimental psychology. General.

[84]  M. Clyde,et al.  Mixtures of g Priors for Bayesian Variable Selection , 2008 .

[85]  Z. Diénès Understanding Psychology as a Science: An Introduction to Scientific and Statistical Inference , 2008 .

[86]  M. Lee Three case studies in the Bayesian analysis of cognitive models , 2008, Psychonomic bulletin & review.

[87]  Richard D. Morey,et al.  A statistical model for discriminating between subliminal and near-liminal performance , 2008 .

[88]  Yuzo Maruyama,et al.  Fully Bayes factors with a generalized g-prior , 2008, 0801.4410.

[89]  E. Wagenmakers A practical solution to the pervasive problems ofp values , 2007, Psychonomic bulletin & review.

[90]  Jeffrey N Rouder,et al.  Detecting chance: A solution to the null sensitivity problem in subliminal priming , 2007, Psychonomic bulletin & review.

[91]  Jun Lu,et al.  Signal Detection Models with Random Participant and Item Effects , 2007 .

[92]  Michael D. Lee,et al.  A Bayesian Approach to Diffusion Models of Decision-Making and Response Time , 2006, NIPS.

[93]  Tony O’Hagan Bayes factors , 2006 .

[94]  Michael Goldstein,et al.  Subjective Bayesian Analysis: Principles and Practice , 2006 .

[95]  J. Berger The case for objective Bayesian analysis , 2006 .

[96]  Peter Grünwald,et al.  Accumulative prediction error and the selection of time series models , 2006 .

[97]  J. Revuelta,et al.  Optimization of sample size in controlled experiments: The CLAST rule , 2006, Behavior research methods.

[98]  Herbert Hoijtink,et al.  Inequality constrained analysis of variance: a Bayesian approach. , 2005, Psychological methods.

[99]  J. Ioannidis,et al.  Why Most Published Research Findings Are False , 2005, PLoS medicine.

[100]  Jeffrey N. Rouder,et al.  A hierarchical model for estimating response time distributions , 2005, Psychonomic bulletin & review.

[101]  Philip Dawid,et al.  Statistics on trial , 2005, Medicine, science, and the law.

[102]  R. Hill Reflections on the cot death cases , 2005, Medicine, science, and the law.

[103]  R. Nobles,et al.  Misleading statistics within criminal trials , 2005, Medicine, science, and the law.

[104]  David Lindley,et al.  That wretched prior , 2004 .

[105]  M. Tribus,et al.  Probability theory: the logic of science , 2003 .

[106]  I. J. Myung,et al.  Tutorial on maximum likelihood estimation , 2003 .

[107]  P. Dellaportas,et al.  Bayesian variable and link determination for generalised linear models , 2003 .

[108]  A. Yonelinas The Nature of Recollection and Familiarity: A Review of 30 Years of Research , 2002 .

[109]  John P. Huelsenbeck,et al.  MRBAYES: Bayesian inference of phylogenetic trees , 2001, Bioinform..

[110]  M. J. Bayarri,et al.  Calibration of ρ Values for Testing Precise Null Hypotheses , 2001 .

[111]  N. Brown Pierre-Simon Laplace, 1749-1827. A Life in Exact Science , 2000 .

[112]  Scott D. Brown,et al.  The power law repealed: The case for an exponential law of practice , 2000, Psychonomic bulletin & review.

[113]  Julia Mortera,et al.  Default Bayes Factors for Nonnested Hypothesis Testing , 1999 .

[114]  A. Raftery Bayes Factors and BIC , 1999 .

[115]  R. Frick,et al.  A better stopping rule for conventional statistical tests , 1998 .

[116]  V. Vieland,et al.  Statistical Evidence: A Likelihood Paradigm , 1998 .

[117]  A. Raftery,et al.  Estimating Bayes Factors via Posterior Simulation with the Laplace—Metropolis Estimator , 1997 .

[118]  I. J. Myung,et al.  Applying Occam’s razor in modeling cognition: A Bayesian approach , 1997 .

[119]  A. O'Hagan,et al.  Kendall's Advanced Theory of Statistics, Vol. 2b: Bayesian Inference. , 1996 .

[120]  H. Raiffa,et al.  Introduction to Statistical Decision Theory , 1996 .

[121]  M. Kendall,et al.  Kendall's advanced theory of statistics , 1995 .

[122]  D. Lindley,et al.  The Analysis of Experimental Data: The Appreciation of Tea and Wine , 1993 .

[123]  Adrian F. M. Smith,et al.  Sampling-Based Approaches to Calculating Marginal Densities , 1990 .

[124]  James O. Berger,et al.  Statistical Analysis and the Illusion of Objectivity , 1988 .

[125]  J. Berger Statistical Decision Theory and Bayesian Analysis , 1988 .

[126]  J. Berger,et al.  Testing Precise Hypotheses , 1987 .

[127]  A. Tversky,et al.  Extensional versus intuitive reasoning: the conjunction fallacy in probability judgment , 1983 .

[128]  A. F. Smith,et al.  Bayesian Analysis in Econometrics and Statistics: Essays in Honour of Harold Jeffreys , 1982 .

[129]  T L Lai,et al.  Sequential medical trials. , 1980, Proceedings of the National Academy of Sciences of the United States of America.

[130]  M. Artés Statistical errors. , 1977, Medicina clinica.

[131]  D. Pierce On Some Difficulties in a Frequency Theory of Inference , 1973 .

[132]  R. D. Rosenkrantz,et al.  The significance test controversy , 1972, Synthese.

[133]  J Cornfield,et al.  The Bayesian outlook and its application. , 1969, Biometrics.

[134]  L. Brown THE CONDITIONAL LEVEL OF STUDENT'S t TEST' , 1967 .

[135]  David Lindley,et al.  Introduction to Probability and Statistics from a Bayesian Viewpoint , 1966 .

[136]  W. Edwards,et al.  TACTICAL NOTE ON THE RELATION BETWEEN SCIENTIFIC AND STATISTICAL HYPOTHESES. , 1965, Psychological bulletin.

[137]  R. Buehler,et al.  Note on a Conditional Property of Student's $t^1$ , 1963 .

[138]  D. Hillman The probability of induction , 1963 .

[139]  D. Cox Some problems connected with statistical inference , 1958 .

[140]  M. S. Bartlett,et al.  Statistical methods and scientific inference. , 1957 .

[141]  J. Neyman Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability , 1937 .

[142]  H. Jeffreys Some Tests of Significance, Treated by the Theory of Probability , 1935, Mathematical Proceedings of the Cambridge Philosophical Society.

[143]  Charles S. Peirce,et al.  Collected Papers of Charles Sanders Peirce: Vol. II, Elements of Logic , 1934 .

[144]  J. Haldane,et al.  A note on inverse probability , 1932, Mathematical Proceedings of the Cambridge Philosophical Society.

[145]  D. W. D.Sc.,et al.  XLII. On certain fundamental principles of scientific inquiry , 1921 .

[146]  Jeffrey N. Rouder,et al.  The need for Bayesian hypothesis testing in psychological science , 2017 .

[147]  F. Ramsey Truth and Probability , 2016 .

[148]  Andrew Heathcote,et al.  An introduction to good practices in cognitive modeling , 2015 .

[149]  Eric-Jan Wagenmakers,et al.  Bayesian tests to quantify the result of a replication attempt. , 2014, Journal of experimental psychology. General.

[150]  R. Kievit,et al.  The meaning of "significance" for different types of research [translated and annotated by Eric-Jan Wagenmakers, Denny Borsboom, Josine Verhagen, Rogier Kievit, Marjan Bakker, Angelique Cramer, Dora Matzke, Don Mellenbergh, and Han L. J. van der Maas]. 1969. , 2014, Acta psychologica.

[151]  G. Cumming,et al.  The New Statistics , 2014, Psychological science.

[152]  C. Glenn Begley,et al.  Raise standards for preclinical cancer research , 2012 .

[153]  A. Eagle Philosophy of Probability: Contemporary Readings , 2011 .

[154]  J. Kruschke Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison. , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[155]  N. Reid Likelihood , 2011, International Encyclopedia of Statistical Science.

[156]  J. Grossman The Likelihood Principle , 2011 .

[157]  Christopher Rao,et al.  Graphs in Statistical Analysis , 2010 .

[158]  H. Hoijtink,et al.  Bayesian Evaluation of Informative Hypotheses. , 2008 .

[159]  M. Woodroofe,et al.  (Setting Confidence Intervals for Bounded Parameters): Comment , 2007 .

[160]  D. Lindley Kendall's Advanced Theory of Statistics, volume 2B, Bayesian Inference, 2nd edn , 2005 .

[161]  A. Brix Bayesian Data Analysis, 2nd edn , 2005 .

[162]  G. Gigerenzer Mindless statistics , 2004 .

[163]  G. Gigerenzer,et al.  The null ritual : What you always wanted to know about significance testing but were afraid to ask , 2004 .

[164]  Arto Luoma,et al.  Bayesian Model Selection , 2016 .

[165]  D. Pfeffermann,et al.  Small area estimation , 2011 .

[166]  James O. Berger,et al.  Objective Bayesian Methods for Model Selection: Introduction and Comparison , 2001 .

[167]  José M Bernardo and Adrian F M Smith,et al.  BAYESIAN THEORY , 2008 .

[168]  L. Harlow,et al.  What if there were no significance tests , 1997 .

[169]  Peter Green,et al.  Markov chain Monte Carlo in Practice , 1996 .

[170]  A. O'Hagan,et al.  Fractional Bayes factors for model comparison , 1995 .

[171]  James O. Berger,et al.  Ockham's Razor and Bayesian Analysis , 1992 .

[172]  H. Gish,et al.  the Significance Test , 1989 .

[173]  E. Jaynes,et al.  Confidence Intervals vs Bayesian Intervals , 1976 .

[174]  H. D. De Kanter [The philosophy of statistics]. , 1972, Ginecología y Obstetricia de México.

[175]  D. A. Grant,et al.  Testing the null hypothesis and the strategy and tactics of investigating theoretical models. , 1962, Psychological review.

[176]  W. Estes The problem of inference from curves based on group data. , 1956, Psychological bulletin.

[177]  N. Campbell,et al.  Scientific Inference , 1931, Nature.

[178]  L. M. M.-T. Theory of Probability , 1929, Nature.