Pages that link to "Item:Q2361448"

The following pages link to Comparison of Bayesian predictive methods for model selection (Q2361448):

Displaying 50 items.

• Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC (Q59366) (← links)
• Cross-validation prior choice in Bayesian probit regression with many covariates (Q746215) (← links)
• On the quantification of model uncertainty: a Bayesian perspective (Q823871) (← links)
• Bayesian predictive model comparison via parallel sampling (Q957152) (← links)
• Using stacking to average Bayesian predictive distributions (with discussion) (Q1631589) (← links)
• Default priors for the intercept parameter in logistic regressions (Q1727911) (← links)
• Tree ensembles with rule structured horseshoe regularization (Q1728658) (← links)
• Difficulty of selecting among multilevel models using predictive accuracy (Q1747442) (← links)
• Penalising model component complexity: a principled, practical approach to constructing priors (Q1790379) (← links)
• A survey of Bayesian predictive methods for model assessment, selection and comparison (Q1951655) (← links)
• Bayesian model selection in the \(\mathcal{M}\)-open setting -- approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator (Q1981162) (← links)
• Implicitly adaptive importance sampling (Q2058716) (← links)
• Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing (Q2080726) (← links)
• Bayesian forecasting with a regime-switching zero-inflated multilevel Poisson regression model: an application to adolescent alcohol use with spatial covariates (Q2152395) (← links)
• Projective inference in high-dimensional problems: prediction and feature selection (Q2188473) (← links)
• Lasso meets horseshoe: a survey (Q2292393) (← links)
• Bayesian cylindrical data modeling using Abe-Ley mixtures (Q2307289) (← links)
• Variable prioritization in nonlinear black box methods: a genetic association case study (Q2318669) (← links)
• Bayesian comparison of latent variable models: conditional versus marginal likelihoods (Q2331200) (← links)
• Shrinkage priors for Bayesian penalized regression (Q2332812) (← links)
• Comparison of Bayesian predictive methods for model selection (Q2361448) (← links)
• Comparing and calibrating discrepancy measures for Bayesian model selection (Q2920786) (← links)
• (Q4637023) (← links)
• Fully Bayesian logistic regression with hyper-LASSO priors for high-dimensional feature selection (Q4960726) (← links)
• Bayesian structured antedependence model proposals for longitudinal data (Q4969271) (← links)
• A Bayesian Approach to Envelope Quantile Regression (Q5040481) (← links)
• Model Interpretation Through Lower-Dimensional Posterior Summarization (Q5066426) (← links)
• Bayesian estimation of subset threshold autoregressions: short-term forecasting of traffic occupancy (Q5861442) (← links)
• Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review (Q5883296) (← links)
• Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation (Q6067164) (← links)
• Robust probit linear mixed models for longitudinal binary data (Q6068836) (← links)
• Using reference models in variable selection (Q6104420) (← links)
• A comparative study on high-dimensional bayesian regression with binary predictors (Q6172140) (← links)
• Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy (Q6185714) (← links)
• The Median probability model and correlated variables (Q6198361) (← links)
• Bayesian hierarchical stacking: some models are (somewhere) useful (Q6203242) (← links)
• Disjunct support spike-and-slab priors for variable selection in regression under quasi-sparseness (Q6541607) (← links)
• Structured Shrinkage Priors (Q6552519) (← links)
• Bayesian hierarchical models incorporating study-level covariates for multivariate meta-analysis of diagnostic tests without a gold standard with application to COVID-19 (Q6560503) (← links)
• A simple approach for local and global variable importance in nonlinear regression models (Q6561260) (← links)
• Hybrid SV-GARCH, \(t\)-GARCH and Markov-switching covariance structures in VEC models -- which is better from a predictive perspective? (Q6580679) (← links)
• Efficient estimation and correction of selection-induced bias with order statistics (Q6581666) (← links)
• Uncertainty quantification of graph convolution neural network models of evolving processes (Q6588354) (← links)
• On the safe use of prior densities for Bayesian model selection (Q6602003) (← links)
• Bayesian inference using Hamiltonian Monte-Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy (Q6617433) (← links)
• Multivariate probit linear mixed models for multivariate longitudinal binary data (Q6618443) (← links)
• Adaptive predictor-set linear model: an imputation-free method for linear regression prediction on data sets with missing values (Q6625469) (← links)
• Determination of correlations in multivariate longitudinal data with modified Cholesky and hypersphere decomposition using Bayesian variable selection approach (Q6627941) (← links)
• Bayesian approaches to variable selection: a comparative study from practical perspectives (Q6637079) (← links)
• BHAFT: Bayesian heredity-constrained accelerated failure time models for detecting gene-environment interactions in survival analysis (Q6656297) (← links)