Model choice: a minimum posterior predictive loss approach
From MaRDI portal
Publication:3842820
DOI10.1093/biomet/85.1.1zbMath0904.62036OpenAlexW2127874106MaRDI QIDQ3842820
Alan E. Gelfand, Sujit Kumar Ghosh
Publication date: 21 January 1999
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/0c629fc3219503fafe74939ec6200778a56f1e4f
Related Items
A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models, Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets, Comparison of Bayesian predictive methods for model selection, A fully nonparametric modeling approach to binary regression, A practical approach for assessing the effect of grouping in hierarchical spatio-temporal models, Bayesian space-time modeling of malaria incidence in Sucre state, Venezuela: spatial special issue, Bayesian hierarchical modeling: application towards production results in the Eagle Ford Shale of South Texas, Multivariate spatial regression models, Bayesian variable selection for the Cox regression model with missing covariates, Accelerated test system strength models based on Birnbaum-Saunders distribution: a complete Bayesian analysis and comparison, Bayesian degree-corrected stochastic blockmodels for community detection, Bayesian approaches for analyzing earthquake catastrophic risk, A varying coefficients model for estimating finite population totals: a hierarchical Bayesian approach, Bivariate survival modeling: a Bayesian approach based on copulas, Bayesian ratemaking procedure of crop insurance contracts with skewed distribution, Hierarchical Bayesian models applied to air surveillance radars, Nonstationary multivariate process modeling through spatially varying coregionalization, Spatial variable selection methods for investigating acute health effects of fine particulate matter components, Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome, Implementation of a robust bayesian method, Bayesian graduation of mortality rates: an application to reserve evaluation, Bayesian panel data analysis for exploring the impact of subprime financial crisis on the US stock market, Some recent work on multivariate Gaussian Markov random fields, Properization: constructing proper scoring rules via Bayes acts, Interpolation of daily rainfall data using censored Bayesian spatially varying model, Prior sensitivity in theory testing: an apologia for the Bayes factor, A Bayesian study for the comparison of generalized gamma model with its components, Spatial modelling of claim frequency and claim size in non-life insurance, Bayesian modeling of bathtub shaped hazard rate using various Weibull extensions and related issues of model selection, Risk assessment for toxicity experiments with discrete and continuous outcomes: a Bayesian nonparametric approach, Variational Bayesian methods for spatial data analysis, Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models, Estimation and extrapolation of time trends in registry data -- borrowing strength from related populations, Dynamic model-based clustering for spatio-temporal data, Compatibility of prior specifications across linear models, Adaptive-modal Bayesian nonparametric regression, A survey of Bayesian predictive methods for model assessment, selection and comparison, Bayesian spatio-temporal models based on discrete convolutions, Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications, Hierarchical Bayesian models for predicting spatially correlated curves, A criterion-based model comparison statistic for structural equation models with heterogeneous data, A comparative study of Bayes estimators of closed population size from capture-recapture data, Modeling US housing prices by spatial dynamic structural equation models, Bayesian projection approaches to variable selection in generalized linear models, Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data, Bayesian model comparison: log scores and \(DIC\), Bayesian modeling of bacterial growth for multiple populations, Modeling complex spatial dependencies: low-rank spatially varying cross-covariances with application to soil nutrient data, Dynamic inverse prediction and sensitivity analysis with high-dimensional responses: application to climate-change vulnerability of biodiversity, Ecological prediction with nonlinear multivariate time-frequency functional data models, Bayesian Semiparametric Modelling in Quantile Regression, Modeling Criminal Careers as Departures From a Unimodal Population Age–Crime Curve: The Case of Marijuana Use, Space-varying regression models: specifications and simulation, Bayesian Model Selection for Incomplete Data Using the Posterior Predictive Distribution, Bayesian predictive model comparison via parallel sampling, Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data, Bayesian semiparametric analysis for latent variable models with mixed continuous and ordinal outcomes, Hierarchical Factor Models for Large Spatially Misaligned Data: A Low‐Rank Predictive Process Approach, A Bayes comparison of Weibull extension and modified Weibull models for data showing bathtub hazard rate, Bayesian model selection: a predictive approach with losses based on distances \(L^1\) and \(L^2\), Hierarchical Bayesian collective risk model: an application to health insurance, A statistical framework to combine multivariate spatial data and physical models for hurricane surface wind prediction, Fast inference for time-varying quantiles via flexible dynamic models with application to the characterization of atmospheric rivers, Improving crop model inference through Bayesian melding with spatially varying parameters, Model uncertainty, Bayesian Analysis and Model Selection for Interval‐Censored Survival Data, Bayesian Predictive Inference for Time Series Count Data, Bayesian modeling of several covariance matrices and some results on propriety of the posterior for linear regression with correlated and/or heterogeneous errors, A comparison of Bayesian models for daily ozone concentration levels, Attaching uncertainty to deterministic spatial interpolations, Bayesian nonparametric model selection and model testing, Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California, Variable selection in STAR models with neighbourhood effects using genetic algorithms, Spatial Boundary Detection for Areal Counts, Comparison of Shared Frailty Models for Kidney Infection Data under Exponential Power Baseline Distribution, Bayes factors: Prior sensitivity and model generalizability, Analysis of cure rate survival data under proportional odds model, Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis, Modelling multivariate disease rates with a latent structure mixture model, Modelling zero-inflated spatio-temporal processes, Skew random effects in multilevel binomial models, Bayesian Model Selection: Measuring the χ2Discrepancy with the Uniform Distribution, Estimation and inference for area-wise spatial income distributions from grouped data, Bayesian modelling strategies for spatially varying regression coefficients: a multivariate perspective for multiple outcomes, Multilevel modeling using spatial processes: application to the Singapore housing market, Inequalities between expected marginal log-likelihoods, with implications for likelihood-based model complexity and comparison measures, A skew-normal dynamic linear model and Bayesian forecasting, Bayesian analysis of circular data using wrapped distributions, Prior Density Selection as a Particular Case of Bayesian Model Selection: A Predictive Approach, Bayesian spatial models for small area estimation of proportions, Semiparametric proportional odds models for spatially correlated survival data, A model for identifying and ranking dangerous accident locations: a case study in Flanders, Multivariate parametric spatiotemporal models for county level breast cancer survival data, A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness, Bayesian finite-population inference with spatially correlated measurements, Bayesian and likelihood methods for fitting multilevel models with complex level-1 variation., Enumerating and testing conjoint measurement models, Bayesian methods for generalized linear models with covariates missing at random, A generalized predictive criterion for model selection, On the calibration of Bayesian model choice criteria, Bayesian Function-on-Scalars Regression for High-Dimensional Data, Shared frailty models with baseline generalized Pareto distribution, Comparison of additive shared frailty models under Lindley baseline distribution, Predictive Model Assessment for Count Data, Bayes analysis of abridged age specific fertility pattern using parametric models, Bayesian Approaches to Shrinkage and Sparse Estimation, Bayes analysis of the generalized gamma AFT models for left truncated and right censored data, Economic variable selection, Space‐time areal mixture model: relabeling algorithm and model selection issues, Covariate‐based cepstral parameterizations for time‐varying spatial error covariances, The posterior predictive null, Dynamic spatio-temporal zero-inflated Poisson models for predicting capelin distribution in the Barents Sea, Locally adaptive Bayesian isotonic regression using half shrinkage priors, A comparison of models using removal effort to estimate animal abundance, Bayesian Model Choice in Exponential Survival Models, Bayesian Modelling of Outstanding Liabilities Incorporating Claim Count Uncertainty, Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates, A Bayes Study on the Feasibility of Shape and Threshold Parameters Based on the Assumption of Exponential and Weibull Models, A Bayesian predictive approach to model selection., Objective priors for hypothesis testing in one‐way random effects models, Bayesian inference in STAR models using neighbourhood effects, Modelling transport mode decisions using hierarchical logistic regression models with spatial and cluster effects, Longitudinal mixed-effects models for latent cognitive function, Generalized linear models and Capture-Recapture Method in a closed population: strengths and weaknesses, Bayesian variable selection in a class of mixture models for ordinal data: a comparative study, Bayesian analysis of spatial data using different variance and neighbourhood structures, Hierarchical spatially varying coefficient and temporal dynamic process models usingspTDyn, Bayesian analysis for confirmatory factor model with finite-dimensional Dirichlet prior mixing, Hierarchical dose–response modeling for high‐throughput toxicity screening of environmental chemicals, Comparison of Frailty Models for Acute Leukemia Data under Gompertz Baseline Distribution, Analysis of Bivariate Survival Data using Shared Inverse Gaussian Frailty Model, Bayes Factors for Comparison of Restricted Simple Linear Regression Coefficients
