Deviance information criterion for latent variable models and misspecified models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2019.11.002
Abstract: Deviance information criterion (DIC) has been widely used for Bayesian model comparison, especially after Markov chain Monte Carlo (MCMC) is used to estimate candidate models. This paper first studies the problem of using DIC to… read more here.
Keywords: misspecified models; variable models; deviance information; information criterion ... See more keywords
Bias reduction and model selection in misspecified models
Sign Up to like & getrecommendations! Published in 2021 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2021.1959613
Abstract: This article concerns maximum penalized likelihood estimation in misspecified generalized linear models with independent and identically distributed observations. A new method for simultaneous mode... read more here.
Keywords: misspecified models; bias reduction; model selection; reduction model ... See more keywords
Inference of Gene Flow between Species under Misspecified Models
Sign Up to like & getrecommendations! Published in 2022 at "Molecular Biology and Evolution"
DOI: 10.1093/molbev/msac237
Abstract: Abstract Genomic sequence data provide a rich source of information about the history of species divergence and interspecific hybridization or introgression. Despite recent advances in genomics and statistical methods, it remains challenging to infer gene… read more here.
Keywords: gene flow; model; misspecified models; introgression ... See more keywords