Pages that link to "Item:Q5965285"

The following pages link to Deviance information criteria for missing data models (Q5965285):

Displaying 50 items.

• Multidimensional and longitudinal item response models for non-ignorable data (Q1658988) (← links)
• Income inequality decomposition using a finite mixture of log-normal distributions: a Bayesian approach (Q1659172) (← links)
• Fast computation of the deviance information criterion for latent variable models (Q1659173) (← links)
• Bayesian variable selection for finite mixture model of linear regressions (Q1659475) (← links)
• Model selection for time series of count data (Q1662312) (← links)
• Dealing with reflection invariance in Bayesian factor analysis (Q1695626) (← links)
• Dynamic model-based clustering for spatio-temporal data (Q1702014) (← links)
• Multivariate dependence analysis via tree copula models: an application to one-year forward energy contracts (Q1749519) (← links)
• Panel data analysis: a survey on model-based clustering of time series (Q1761308) (← links)
• Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics (Q1790317) (← links)
• On marginal likelihood computation in change-point models (Q1927122) (← links)
• Long memory and nonlinearities in realized volatility: a Markov switching approach (Q1927150) (← links)
• Beta generalized distributions and related exponentiated models: a Bayesian approach (Q1930640) (← links)
• Clustering for multivariate continuous and discrete longitudinal data (Q1951526) (← links)
• A survey of Bayesian predictive methods for model assessment, selection and comparison (Q1951655) (← links)
• Modeling volatility dynamics using non-Gaussian stochastic volatility model based on band matrix routine (Q2000331) (← links)
• A Bayesian robust chi-squared test for testing simple hypotheses (Q2024459) (← links)
• Identifying overlapping terrorist cells from the Noordin Top actor-event network (Q2044275) (← links)
• An attention-based diffusion model for psychometric analyses (Q2073741) (← links)
• Correcting for sample selection bias in Bayesian distributional regression models (Q2076142) (← links)
• Bayesian estimation for an item response tree model for nonresponse modeling (Q2082569) (← links)
• Semiparametric mixed-effects ordinary differential equation models with heavy-tailed distributions (Q2084434) (← links)
• Bayesian mixture model of extended redundancy analysis (Q2088918) (← links)
• Bayesian model selection for longitudinal count data (Q2091319) (← links)
• Bayesian model assessment for jointly modeling multidimensional response data with application to computerized testing (Q2103563) (← links)
• Bayesian semiparametric modeling of response mechanism for nonignorable missing data (Q2125476) (← links)
• Bayesian cumulative logit random effects models with ARMA random effects covariance matrix (Q2131882) (← links)
• Robust model selection with covariables missing at random (Q2135520) (← links)
• Bayesian hierarchical modeling: application towards production results in the Eagle Ford Shale of South Texas (Q2135585) (← links)
• Simultaneous Bayesian modelling of skew-normal longitudinal measurements with non-ignorable dropout (Q2135856) (← links)
• A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study (Q2135894) (← links)
• Varying-coefficient hidden Markov models with zero-effect regions (Q2143013) (← links)
• Joint latent space models for ranking data and social network (Q2152558) (← links)
• A Bayesian model of dose-response for cancer drug studies (Q2154172) (← links)
• Bayesian estimation for the GreenLab plant growth model with deterministic organogenesis (Q2163489) (← links)
• Modeling animal movement with directional persistence and attractive points (Q2170454) (← links)
• Deviance information criterion for latent variable models and misspecified models (Q2173191) (← links)
• Spatial Bayesian models of tree density with zero inflation and autocorrelation (Q2197340) (← links)
• Latent likelihood ratio tests for assessing spatial kernels in epidemic models (Q2204864) (← links)
• The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models (Q2218353) (← links)
• Understanding the sampling bias: a case study on NBA drafts (Q2241466) (← links)
• Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects (Q2242039) (← links)
• Using mixture of gamma distributions for Bayesian analysis in an M/G/1 queue with optional second service (Q2255850) (← links)
• A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation (Q2255951) (← links)
• Clustering of temporal profiles using a Bayesian logistic mixture model: analyzing groundwater level data to understand the characteristics of urban groundwater recharge (Q2260100) (← links)
• A mixture of generalized latent variable models for mixed mode and heterogeneous data (Q2275642) (← links)
• Learning semiparametric regression with missing covariates using Gaussian process models (Q2297240) (← links)
• Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures (Q2316986) (← links)
• Bayes factors for partially observed stochastic epidemic models (Q2316990) (← links)
• Bayesian model-based clustering for longitudinal ordinal data (Q2319476) (← links)