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   Articles with "posterior predictive" as a keyword



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Assessment of Item Response Model-Data Fit Via Bayesian Limited Information Model Comparison Posterior Predictive Checks

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recommendations! Published in 2019 at "Multivariate Behavioral Research"

DOI: 10.1080/00273171.2019.1700772

Abstract: Model-data fit is critical to ensure valid interpretations of test scores. Recently, emphasis has been placed on Bayesian psychometric models. Despite a surge in research on Bayesian psychometric models, no research has yet been conducted… read more here.

Keywords: model data; data fit; model; limited information ... See more keywords
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The Hellinger Distance within Posterior Predictive Assessment for Investigating Multidimensionality in IRT Models

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recommendations! Published in 2020 at "Multivariate Behavioral Research"

DOI: 10.1080/00273171.2020.1753497

Abstract: Abstract Under the Bayesian approach, posterior predictive model checking (PPMC) has become a popular tool for fit assessment of item response theory (IRT) models. In this study, we propose the use of the Hellinger distance… read more here.

Keywords: distance; irt models; posterior predictive; distance within ... See more keywords
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Calibration of posterior predictive p-values for model checking

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recommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2020.1844701

Abstract: ABSTRACT When assessing the compatibility of an assumed model and the observed data, one popular method is the posterior predictive p-value (ppp). However, the posterior predictive p-values typically do not have uniform distributions and tend… read more here.

Keywords: values model; predictive values; calibration posterior; posterior predictive ... See more keywords
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GppFst: genomic posterior predictive simulations of FST and dXY for identifying outlier loci from population genomic data

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recommendations! Published in 2017 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btw795

Abstract: We introduce GppFst, an open source R package that generates posterior predictive distributions of FST and dx under a neutral coalescent model to identify putative targets of selection from genomic data. AVAILABILITY AND IMPLEMENTATION GppFst… read more here.

Keywords: gppfst genomic; simulations fst; predictive simulations; genomic posterior ... See more keywords
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A Posterior Predictive Model Checking Method Assuming Posterior Normality for Item Response Theory

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recommendations! Published in 2019 at "Applied Psychological Measurement"

DOI: 10.1177/0146621618779985

Abstract: This study investigated the violation of local independence assumptions within unidimensional item response theory (IRT) models. Bayesian posterior predictive model checking (PPMC) methods are increasingly being used to investigate multidimensionality in IRT models. The current… read more here.

Keywords: response theory; item response; predictive model; irt models ... See more keywords
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Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation

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recommendations! Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0269438

Abstract: Bayesian skyline plots (BSPs) are a useful tool for making inferences about demographic history. For example, researchers typically apply BSPs to test hypotheses regarding how climate changes have influenced intraspecific genetic diversity over time. Like… read more here.

Keywords: bayesian skyline; p2c2m skyline; model; posterior predictive ... See more keywords
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Posterior Predictive of Bayesian Vector Autoregressive (BVAR) and Adjusting Transformation on the Spatio Temporal Disaggregation Method: Predict Hourly rainfall data at the outsampled Locations

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recommendations! Published in 2019 at "Pakistan Journal of Statistics and Operation Research"

DOI: 10.18187/pjsor.v15i2.2651

Abstract: This research is a development from previous research that has studied the method of spatio temporal disaggregation with State space and adjusting procedures for predicting hourly rainfall based on daily rainfall (Astutik et al, 2013).… read more here.

Keywords: predictive bayesian; spatio temporal; temporal disaggregation; hourly rainfall ... See more keywords