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Bayesian criterion based model assessment for categorical data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jmva.1999.1846openalex-snapshot
Properties of Prior and Posterior Distributions for Multivariate Categorical Response Data Models
inferredcites →https://doi.org/10.1007/978-1-4612-1694-0_15openalex-snapshot
Information Theory and an Extension of the Maximum Likelihood Principle
inferredcites →https://doi.org/10.1007/978-1-4899-4467-2openalex-snapshot
Predictive Inference: An Introduction
inferredcites →https://doi.org/10.1080/00401706.1991.10484817openalex-snapshot
Categorical Data Analysis
inferredcites →https://doi.org/10.1080/01621459.1993.10476321openalex-snapshot
Bayesian Analysis of Binary and Polychotomous Response Data
inferredcites →https://doi.org/10.1080/01621459.1993.10476353openalex-snapshot
Variable Selection Via Gibbs Sampling
inferredcites →https://doi.org/10.1080/01621459.1994.10476472openalex-snapshot
A Predictive Approach to the Analysis of Designed Experiments
inferredcites →https://doi.org/10.1080/01621459.1994.10476894openalex-snapshot
Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
inferredcites →https://doi.org/10.1080/01621459.1997.10473615openalex-snapshot
Bayesian Model Averaging for Linear Regression Models
inferredcites →https://doi.org/10.1080/01621459.1999.10473872openalex-snapshot
A New Skewed Link Model for Dichotomous Quantal Response Data
inferredcites →https://doi.org/10.1093/biomet/85.1.1openalex-snapshot
Model choice: a minimum posterior predictive loss approach
inferredcites →https://doi.org/10.1093/biomet/85.2.347openalex-snapshot
Analysis of multivariate probit models
inferredcites →https://doi.org/10.1093/oso/9780198504856.003.0003openalex-snapshot
Quantifying Surprise in the Data and Model Verification
inferredcites →https://doi.org/10.1093/oso/9780198504856.003.0007openalex-snapshot
Bayesian Model Averaging and Model Search Strategies
inferredcites →https://doi.org/10.1093/oso/9780198523567.003.0017openalex-snapshot
Accounting for Model Uncertainty in Survival Analysis Improves Predictive Performance¹
inferredcites →https://doi.org/10.1111/1467-9868.00173openalex-snapshot
Prior Elicitation, Variable Selection and Bayesian Computation for Logistic Regression Models
inferredcites →https://doi.org/10.1111/1467-9868.00353openalex-snapshot
Bayesian Measures of Model Complexity and Fit
inferredcites →https://doi.org/10.1111/j.2517-6161.1995.tb02028.xopenalex-snapshot
Predictive Model Selection
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02103.xopenalex-snapshot
The Cost of Adding Parameters to a Model
inferredcites →https://doi.org/10.1198/016214503388619229openalex-snapshot
On Optimality Properties of the Power Prior
inferredcites →https://doi.org/10.1201/9781482293456-27openalex-snapshot
Bayesian Model Diagnostics for Correlated Binary Data
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.1214/ss/1009212673openalex-snapshot
Power prior distributions for regression models
inferredcites →https://doi.org/10.2307/2291017openalex-snapshot
Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
inferredcites →https://doi.org/10.2307/2531733openalex-snapshot
Correlated Binary Regression with Covariates Specific to Each Binary Observation
inferredcites →https://doi.org/10.2307/2983423openalex-snapshot
Predictive Inference: An Introduction.
inferredcites →https://doi.org/10.2307/3315865openalex-snapshot
Bayesian methods for generalized linear models with covariates missing at random
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Bayesian Model Selection in Survival Analysis
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Longitudinal Structural Equation Models
inferred← citeshttps://doi.org/10.1002/9781118445112.stat06073openalex-snapshot
Bayesian Model Selection in Survival Analysis
inferred← citeshttps://doi.org/10.1002/bult.2013.1720390206openalex-snapshot
Evaluating classification schema and classification decisions
inferred← citeshttps://doi.org/10.1002/sim.3612openalex-snapshot
Bayesian semiparametric analysis of structural equation models with mixed continuous and unordered categorical variables
inferred← citeshttps://doi.org/10.1002/sim.8518openalex-snapshot
Network meta‐regression for ordinal outcomes: Applications in comparing Crohn's disease treatments
inferred← citeshttps://doi.org/10.1007/978-0-387-09612-4_15openalex-snapshot
A Statistician’s View on Bayesian Evaluation of Informative Hypotheses
inferred← citeshttps://doi.org/10.1007/978-0-387-09612-4_8openalex-snapshot
The Bayes Factor Versus Other Model Selection Criteria for the Selection of Constrained Models
inferred← citeshttps://doi.org/10.1007/s00180-023-01417-6openalex-snapshot
Variational Bayesian analysis for two-part latent variable model
inferred← citeshttps://doi.org/10.1007/s10985-008-9101-5openalex-snapshot
Bayesian variable selection for the Cox regression model with missing covariates
inferred← citeshttps://doi.org/10.1016/j.jkss.2018.03.002openalex-snapshot
Bayesian methods for dealing with missing data problems
inferred← citeshttps://doi.org/10.1016/j.jmrt.2023.08.265openalex-snapshot
Prediction model of sintering bed temperature based on lognormal distribution function: construction and application
inferred← citeshttps://doi.org/10.1016/j.jmva.2012.05.010openalex-snapshot
A criterion-based model comparison statistic for structural equation models with heterogeneous data
inferred← citeshttps://doi.org/10.1016/j.jmva.2013.06.001openalex-snapshot
A Bayesian semiparametric dynamic two-level structural equation model for analyzing non-normal longitudinal data
inferred← citeshttps://doi.org/10.1080/00949655.2012.760089openalex-snapshot
Performances of Bayesian model selection criteria for generalized linear models with non-ignorably missing covariates
inferred← citeshttps://doi.org/10.1080/00949655.2014.909091openalex-snapshot
Bayesian variable selection in a class of mixture models for ordinal data: a comparative study
inferred← citeshttps://doi.org/10.1093/gbe/evz167openalex-snapshot
A Novel Test for Absolute Fit of Evolutionary Models Provides a Means to Correctly Identify the Substitution Model and the Model Tree
inferred← citeshttps://doi.org/10.1093/sysbio/syt068openalex-snapshot
Posterior Predictive Bayesian Phylogenetic Model Selection
inferred← citeshttps://doi.org/10.1111/j.1541-0420.2005.00338.xopenalex-snapshot
Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates
inferred← citeshttps://doi.org/10.1111/j.1541-0420.2012.01766.xopenalex-snapshot
Bayesian Model Selection for Incomplete Data Using the Posterior Predictive Distribution
inferred← citeshttps://doi.org/10.1111/rssc.12150openalex-snapshot
Non-Parametric Spatial Models for Clustered Ordered Periodontal Data
inferred← citeshttps://doi.org/10.1111/rssc.12488openalex-snapshot
Bayesian Criterion-Based Variable Selection
inferred← citeshttps://doi.org/10.1155/2014/264920openalex-snapshot
An Integrated Procedure for Bayesian Reliability Inference Using MCMC
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Comments on article by Celeux et al.
inferred← citeshttps://doi.org/10.1214/08-ba323openalex-snapshot
Bayesian variable selection and computation for generalized linear models with conjugate priors
inferred← citeshttps://doi.org/10.1214/12-ss102openalex-snapshot
A survey of Bayesian predictive methods for model assessment, selection and comparison
inferred← citeshttps://doi.org/10.1348/000711010x497262openalex-snapshot
Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.110-116.2655openalex-snapshot
A Bayesian Method for Model Optimization in Structural Equation Models with Mixed Continuous and Ordered Categorical Data
inferred← citeshttps://doi.org/10.4310/sii.2014.v7.n4.a9openalex-snapshot
Bayesian case-deletion model complexity and information criterion
inferred← citeshttps://doi.org/10.5705/ss.2011.011openalex-snapshot
Propriety of posterior distributions arising in categorical and survival models under generalized extreme value distribution
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