Diagnostic checks for discrete data regression models using posterior predictive simulations

By A. Gelman, Yuri Goegebeur, F. Tuerlinckx, I. Van Mechelen. 2000

136 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ca4e9741e19ac47503b28438671366dba43ce8d6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

Citations in the corpus

A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing * (2003, methodology): “More discussion of Bayesian binned residual plots appears in Gelman et al. (2000). 6. Hierarchical structure in a model can allow us to compare batches of parameters to their reference distribution. In this scenario, the replications correspond to new draws of a batch of parameters. Figure 3 shows a”
A Bayesian framework for stable isotope mixing models (2013, background): “The two sources (S = 2) in the dunlin diet represent protein from invertebrates that feed on plants with distinct photosynthetic pathways and isotope ratio ranges (Hobson 1999).”
Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box (2011, result): “These four plots are histogram that plots histograms of the observed (in darker color), the imputed (in dashed line) and the completed (observed plus imputed, in lighter color) values, residual plot (for categorical variable, residual plot is not displayed) that plots the residuals against the predi”
Two simple examples for understanding posterior p-values whose distributions are far from uniform (2013, background): “Gelman et al. (2000) found a similar problem when trying to check discretedata regressions using realized discrepancies based on latent continuous outcomes.”
A Hierarchical Ornstein–Uhlenbeck Model for Continuous Repeated Measurement Data (2009, background): “Candidate procedures that could be considered involve, for instance, the posterior predictive check framework (e.g., Gelman et al., 2004; Gelman, Goegebeur, Tuerlinckx, & Van Mechelen, 2000 ).”