Pages that link to "Item:Q2388355"
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The following pages link to Spike and slab variable selection: frequentist and Bayesian strategies (Q2388355):
Displaying 50 items.
- Identifying regions of inhomogeneities in spatial processes via an M‐RA and mixture priors (Q6055569) (← links)
- Bayesian Regression Analysis of Skewed Tensor Responses (Q6055753) (← links)
- A latent space diffusion item response theory model to explore conditional dependence between responses and response times (Q6057040) (← links)
- Bayesian analysis for matrix-variate logistic regression with/without response misclassification (Q6063145) (← links)
- Discussion (Q6064355) (← links)
- Efficient testing and effect size estimation for set‐based genetic association inference via semiparametric multilevel mixture modeling (Q6068651) (← links)
- Consistent Bayesian information criterion based on a mixture prior for possibly high‐dimensional multivariate linear regression models (Q6073439) (← links)
- Bayesian Interaction Selection Model for Multimodal Neuroimaging Data Analysis (Q6079752) (← links)
- Comparing Bayesian variable selection to Lasso approaches for applications in psychology (Q6080774) (← links)
- Consistent Sparse Deep Learning: Theory and Computation (Q6110715) (← links)
- Bayesian nonparametric hypothesis testing for longitudinal data analysis (Q6111504) (← links)
- A latent slice sampling algorithm (Q6111528) (← links)
- Bayesian estimation of correlation matrices of longitudinal data (Q6120421) (← links)
- Comparing dependent undirected Gaussian networks (Q6122076) (← links)
- A robust Bayesian analysis of variable selection under prior ignorance (Q6133754) (← links)
- System identification using autoregressive Bayesian neural networks with nonparametric noise models (Q6135347) (← links)
- Calibration of spatiotemporal forecasts from citizen science urban air pollution data with sparse recurrent neural networks (Q6138472) (← links)
- A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging (Q6138589) (← links)
- Bayesian Dynamic Tensor Regression (Q6149856) (← links)
- A Dynamic Binary Probit Model with Time-Varying Parameters and Shrinkage Prior (Q6150368) (← links)
- Criterion constrained Bayesian hierarchical models (Q6169915) (← links)
- Bayesian additive regression trees for genotype by environment interaction models (Q6179102) (← links)
- Reversible Jump PDMP Samplers for Variable Selection (Q6185587) (← links)
- A Bayesian method for estimating gene‐level polygenicity under the framework of transcriptome‐wide association study (Q6189843) (← links)
- Semiparametric functional factor models with Bayesian rank selection (Q6203345) (← links)
- Disjunct support spike-and-slab priors for variable selection in regression under quasi-sparseness (Q6541607) (← links)
- Bayesian nonparametric multiway regression for clustered binomial data (Q6541790) (← links)
- Time-dependent shrinkage of time-varying parameter regression models (Q6544902) (← links)
- Consistent group selection using nonlocal priors in regression (Q6549170) (← links)
- Bayesian Multi-Task Variable Selection with an Application to Differential DAG Analysis (Q6552523) (← links)
- Genome-wide search algorithms for identifying dynamic gene co-expression via Bayesian variable selection (Q6560563) (← links)
- Variable Selection for High-Dimensional Nodal Attributes in Social Networks with Degree Heterogeneity (Q6567927) (← links)
- Bayesian adaptive selection of basis functions for functional data representation (Q6571984) (← links)
- Bayesian inference with spike-and-slab priors for differential item functioning detection in a multiple-group IRT tree model (Q6586550) (← links)
- A robust Bayesian approach for causal inference problems (Q6587938) (← links)
- An integrated method for simultaneous calibration and parameter selection in computer models (Q6600079) (← links)
- The how and why of Bayesian nonparametric causal inference (Q6601995) (← links)
- Inducing Sparsity and Shrinkage in Time-Varying Parameter Models (Q6617787) (← links)
- Bayesian variable selection based on clinical relevance weights in small sample studies -- application to colon cancer (Q6625644) (← links)
- Heterogeneity pursuit for spatial point pattern with application to tree locations: a Bayesian semiparametric recourse (Q6626411) (← links)
- Spatiotemporal signal detection using continuous shrinkage priors (Q6627383) (← links)
- Bayesian variable selection for understanding mixtures in environmental exposures (Q6627987) (← links)
- Bayesian models for aggregate and individual patient data component network meta-analysis (Q6628397) (← links)
- TSEC: A Framework for Online Experimentation under Experimental Constraints (Q6631092) (← links)
- A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling (Q6631124) (← links)
- Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data (Q6631698) (← links)
- Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression (Q6631875) (← links)
- Function-on-Function Kriging, With Applications to Three-Dimensional Printing of Aortic Tissues (Q6631898) (← links)
- Bayesian variable selection methods for matched case-control studies (Q6636131) (← links)
- Bayesian approaches to variable selection: a comparative study from practical perspectives (Q6637079) (← links)
