Posterior predictive checks can and should be Bayesian: comment on Gelman and Shalizi, 'Philosophy and the practice of Bayesian statistics'.

No abstract is available for this paper.

• Publication year

  2013

• Venue

  British Journal of Mathematical & Statistical Psychology

• Publication date

  2013-02-01

• Fields of study

  Medicine, Philosophy, Computer Science

• Identifiers
  DOI 10.1111/j.2044-8317.2012.02063.xPMID 23003325
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Handbuch der physiologischen Optik

  2015cited by this paper
• Perception as Bayesian Inference

  2014cited by this paper
• The Oxford Handbook of Philosophy of Social Science

  2012cited by this paper
• Bayesian learning theory applied to human cognition.

  2011cited by this paper
• Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison

  2011cited by this paper
• How to Grow a Mind: Statistics, Structure, and Abstraction

  2011cited by this paper
• Causal inference in perception.

  2010cited by this paper
• Probabilistic models of cognition: exploring representations and inductive biases.

  2010cited by this paper
• Philosophy and the practice of Bayesian statistics.

  2010cited by this paper
• Prior sensitivity in theory testing: An apologia for the Bayes factor

  2010cited by this paper
• Doing Bayesian Data Analysis: A Tutorial with R and BUGS

  2010cited by this paper
• Philosophy and the Practice of Bayesian Statistics in the Social Sciences

  2010cited by this paper
• Bridging levels of analysis: comment on McClelland et al. and Griffiths et al.

  2010cited by this paper
• Bayesian data analysis.

  2010cited by this paper
• What to believe: Bayesian methods for data analysis.

  2010cited by this paper
• Was Helmholtz a Bayesian?

  2008cited by this paper
• Lacking Control Increases Illusory Pattern Perception

  2008cited by this paper
• Bayes factors: Prior sensitivity and model generalizability

  2008cited by this paper
• Technical note: how to use Winbugs to draw inferences in animal models.

  2007cited by this paper
• Iterated learning: Intergenerational knowledge transmission reveals inductive biases

  2007cited by this paper
• From mere coincidences to meaningful discoveries.

  2007cited by this paper
• Probabilistic models of cognition. Special Issue.

  2006cited by this paper
• Locally Bayesian learning with applications to retrospective revaluation and highlighting.

  2006cited by this paper
• Probabilistic models of cognition: conceptual foundations.

  2006cited by this paper
• Vision as Bayesian inference: analysis by synthesis?

  2006cited by this paper
• Bayesian Data Analysis, 2nd edn

  2005cited by this paper
• Object perception as Bayesian inference.

  2004cited by this paper
• Information Theory, Inference, and Learning Algorithms

  2004cited by this paper
• JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling

  2003cited by this paper
• A skew extension of the t‐distribution, with applications

  2003cited by this paper
• Bayesian Inference in the Noncentral Student-t Model

  2002cited by this paper
• BUGS for a Bayesian Analysis of Stochastic Volatility Models

  2000cited by this paper
• Robust Statistical Modeling Using the t Distribution

  1989cited by this paper
• Handbuch der physiologischen Optik

  1896cited by this paper
• Received

  1868cited by this paper

• Studying the dynamics of mandibular growth spurts in individuals with Class I and Class II skeletal growth patterns using the Bayesian superimposition by translation and rotation (SITAR) model

  2025cites this paper
• Divisive attenuation based on noisy sensorimotor predictions accounts for excess variability in self-touch

  2025cites this paper
• Diversity-aware Population Models: Quantifying Associations between Socio-Spatial Factors and Cognitive Development in the ABCD Cohort

  2024cites this paper
• Probabilistic Comparative Assessment of Structural Cement Composite Compressive Strength–Porosity Models

  2024cites this paper
• Bayesian estimation in veterinary pharmacology: A conceptual and practical introduction.

  2024cites this paper
• sccomp: Robust differential composition and variability analysis for single-cell data

  2023cites this paper
• ABA, ABC, and AAB renewal effects and individual differences of learning on fear conditioning using social stimuli

  2023cites this paper
• Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation

  2022cites this paper
• Robust differential composition and variability analysis for multisample cell omics

  2022cites this paper
• Green Roofs For Domestic Wastewater Treatment: Experimental And Numerical Analysis Of Nitrogen Turnover

  2021cites this paper
• Poisson regression for linguists: A tutorial introduction to modelling count data with brms

  2021cites this paper
• Probabilistic Force Estimation and Event Localization (PFEEL) algorithm

  2021cites this paper
• Assessing uncertainty in past ice and climate evolution: overview, stepping-stones, and challenges

  2021cites this paper
• The technology acceptance scale: Its Bayesian psychometrics assessed in a factor analysis via Markov chain Monte Carlo models

  2021cites this paper
• The scaled target learning model: Revisiting learning in the balloon analogue risk task.

  2021cites this paper
• Bayesian Analysis Reporting Guidelines

  2021cites this paper
• Observations of Stress-Strain in Drifting Sea Ice at Floe Scale

  2021cites this paper
• Growth and derived life history characteristics of the Brazilian electric ray Narcine brasiliensis.

  2020cites this paper
• Reconciling the water balance of large lake systems

  2020cites this paper
• Effects of age on psychophysical measures of auditory temporal processing and speech reception at low and high levels

  2020cites this paper
• Developing memory-based models of ACT-R within a statistical framework

  2020cites this paper
• Bayesian Estimation of Correlation between Measures of Blood Pressure Indices, Aerobic Capacity and Resting Heart Rate Variability Using Markov Chain Monte Carlo Simulation and 95% High Density Interval in Female School Teachers

  2020cites this paper
• Systematic external evaluation of published population pharmacokinetic models of mycophenolate mofetil in adult kidney transplant recipients co‐administered with tacrolimus

  2019cites this paper
• Prey availability, environmental constraints, and aggregation dictate population distribution of an imperiled fish

  2019cites this paper
• Measuring the Video-driven Discussion Engagement Using IRT model

  2019cites this paper
• Glutamate and Dysconnection in the Salience Network: Neurochemical, Effective-connectivity, and Computational Evidence in Schizophrenia

  2019cites this paper
• Bayesian statistics in educational research: a look at the current state of affairs

  2018cites this paper
• Scoring in context

  2018cites this paper
• Probabilistic Multilevel Constitutive Model of the compressive strength of hardened cement paste reinforced with MWCNTs

  2018cites this paper
• Bayesian statistical approaches to evaluating cognitive models.

  2018cites this paper
• The Impact of Antidepressant Dose and Class on Treatment Response in Pediatric Anxiety Disorders: A Meta-Analysis.

  2018cites this paper
• Bayesian structural equation modelling tutorial for novice management researchers

  2018cites this paper
• The Processing-Speed Impairment in Psychosis Is More Than Just Accelerated Aging

  2017cites this paper
• Uso da capacidade preditiva como critério bayesiano de adequação de modelos

  2017cites this paper
• Bayesian Q 2 statistical approaches to evaluate cognitive models

  2017cites this paper
• Model checking after Bayesian inference

  2017cites this paper
• Development and analysis of a Bayesian water balance model for large lake systems

  2017cites this paper
• Online tests of Kalman filter consistency

  2016cites this paper
• Peripheral Visual Cues: Their Fate in Processing and Effects on Attention and Temporal-Order Perception

  2016cites this paper
• How does choice of statistical method to adjust counts for imperfect detection affect inferences about animal abundance?

  2016cites this paper
• Bayesian hierarchical modeling of the temporal dynamics of subjective well-being: A 10 year longitudinal analysis☆

  2015cites this paper
• Psychophysics in a Web browser? Comparing response times collected with JavaScript and Psychophysics Toolbox in a visual search task

  2015cites this paper
• Chapter 17 – Metric Predicted Variable with One Metric Predictor

  2015cites this paper
• Selecting an Optimal Measurement Model and Detecting Differential Item Functioning Using Bayesian Confirmatory Factor Analysis

  2015cites this paper
• Chapter 2 – Introduction: Credibility, Models, and Parameters

  2015cites this paper
• Chapter 25 – Tools in the Trunk

  2015cites this paper
• Becoming more specific: Measuring and modeling teachers' perceived usefulness of ICT in the context of teaching and learning

  2015cites this paper
• Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan

  2014cites this paper
• Using Bayes to get the most out of non-significant results

  2014influential citation
• Rejoinder to discussion of 'Philosophy and the practice of Bayesian statistics'.

  2013cites this paper
• Testing adaptive toolbox models: a Bayesian hierarchical approach.

  2013cites this paper
• Bayesian estimation supersedes the t test.

  2013cites this paper