Pages that link to "Item:Q2388355"

The following pages link to Spike and slab variable selection: frequentist and Bayesian strategies (Q2388355):

Displaying 50 items.

• Sticky PDMP samplers for sparse and local inference problems (Q2104011) (← links)
• How to go viral: a COVID-19 model with endogenously time-varying parameters (Q2106392) (← links)
• On minimax optimality of sparse Bayes predictive density estimates (Q2119220) (← links)
• Bayesian empirical likelihood inference and order shrinkage for autoregressive models (Q2122804) (← links)
• Bayes factor asymptotics for variable selection in the Gaussian process framework (Q2135522) (← links)
• Bayesian hierarchical modeling: application towards production results in the Eagle Ford Shale of South Texas (Q2135585) (← links)
• Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference (Q2137043) (← links)
• Composite mixture of log-linear models with application to psychiatric studies (Q2154179) (← links)
• Horseshoe shrinkage methods for Bayesian fusion estimation (Q2157506) (← links)
• Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties (Q2160432) (← links)
• Spatial generalized linear models with non-Gaussian translation processes (Q2163485) (← links)
• Projective inference in high-dimensional problems: prediction and feature selection (Q2188473) (← links)
• Relevant parameter changes in structural break models (Q2190210) (← links)
• Bayesian fusion estimation via \(t\) shrinkage (Q2206752) (← links)
• Latent theme dictionary model for finding co-occurrent patterns in process data (Q2220545) (← links)
• Joint modeling of longitudinal relational data and exogenous variables (Q2226691) (← links)
• Consistent group selection with Bayesian high dimensional modeling (Q2226716) (← links)
• Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification (Q2230874) (← links)
• Discovering interactions using covariate informed random partition models (Q2233126) (← links)
• BayICE: a Bayesian hierarchical model for semireference-based deconvolution of bulk transcriptomic data (Q2233183) (← links)
• Bayesian matrix completion approach to causal inference with panel data (Q2241470) (← links)
• Bayesian model selection for high-dimensional Ising models, with applications to educational data (Q2242152) (← links)
• Shrinkage priors for single-spiked covariance models (Q2244463) (← links)
• What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care (Q2259202) (← links)
• A robust estimation for the extended \(t\)-process regression model (Q2288780) (← links)
• Lasso meets horseshoe: a survey (Q2292393) (← links)
• High-dimensional posterior consistency for hierarchical non-local priors in regression (Q2297241) (← links)
• Variable selection with spatially autoregressive errors: a generalized moments Lasso estimator (Q2297950) (← links)
• Contraction properties of shrinkage priors in logistic regression (Q2301116) (← links)
• Bayesian discriminant analysis using a high dimensional predictor (Q2316972) (← links)
• A Bayesian nonparametric multiple testing procedure for comparing several treatments against a control (Q2316978) (← links)
• High-dimensional confounding adjustment using continuous Spike and Slab priors (Q2316985) (← links)
• Comment: ``Bayes, oracle Bayes and empirical Bayes'' (Q2325629) (← links)
• Estimating the cognitive diagnosis \(Q\) matrix with expert knowledge: application to the fraction-subtraction dataset (Q2331166) (← links)
• Shrinkage priors for Bayesian penalized regression (Q2332812) (← links)
• Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis (Q2358912) (← links)
• A graph Laplacian prior for Bayesian variable selection and grouping (Q2416741) (← links)
• Nearly optimal Bayesian shrinkage for high-dimensional regression (Q2683046) (← links)
• Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data (Q2686047) (← links)
• Statistical inference via conditional Bayesian posteriors in high-dimensional linear regression (Q2689601) (← links)
• Modeling time-varying parameters using artificial neural networks: a GARCH illustration (Q2700575) (← links)
• Sparse estimation: an MMSE approach (Q2700880) (← links)
• Bayesian hyper-Lassos with non-convex penalization (Q2802765) (← links)
• Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures (Q2811275) (← links)
• Iterative selection using orthogonal regression techniques (Q2870764) (← links)
• Geoadditive Latent Variable Modeling of Count Data on Multiple Sexual Partnering in Nigeria (Q3013993) (← links)
• Particle EM for Variable Selection (Q3121560) (← links)
• Wavelet-based functional linear mixed models: an application to measurement error-corrected distributed lag models (Q3303557) (← links)
• A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression (Q3304825) (← links)
• Two-Stage Bayesian Approach for GWAS With Known Genealogy (Q3391196) (← links)