Pages that link to "Item:Q3585407"
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The following pages link to The horseshoe estimator for sparse signals (Q3585407):
Displaying 50 items.
- Quasi-Bayesian estimation of large Gaussian graphical models (Q2274970) (← links)
- Spike and slab empirical Bayes sparse credible sets (Q2278657) (← links)
- Radio-iBAG: radiomics-based integrative Bayesian analysis of multiplatform genomic data (Q2281245) (← links)
- A unified view on Bayesian varying coefficient models (Q2283580) (← links)
- Variance prior forms for high-dimensional Bayesian variable selection (Q2290703) (← links)
- Implicit copulas from Bayesian regularized regression smoothers (Q2290705) (← links)
- A novel Bayesian approach for variable selection in linear regression models (Q2291315) (← links)
- Lasso meets horseshoe: a survey (Q2292393) (← links)
- Contraction properties of shrinkage priors in logistic regression (Q2301116) (← links)
- Bayesian estimation of large precision matrix based on Cholesky decomposition (Q2311706) (← links)
- Bayesian discriminant analysis using a high dimensional predictor (Q2316972) (← links)
- High-dimensional confounding adjustment using continuous Spike and Slab priors (Q2316985) (← links)
- Variable prioritization in nonlinear black box methods: a genetic association case study (Q2318669) (← links)
- Comment: ``Bayes, oracle Bayes and empirical Bayes'' (Q2325629) (← links)
- Data-driven priors and their posterior concentration rates (Q2326047) (← links)
- Double-parallel Monte Carlo for Bayesian analysis of big data (Q2329746) (← links)
- GPU-accelerated Gibbs sampling: a case study of the horseshoe probit model (Q2329768) (← links)
- Shrinkage priors for Bayesian penalized regression (Q2332812) (← links)
- Comparison of Bayesian predictive methods for model selection (Q2361448) (← links)
- Convergence rate of Bayesian supervised tensor modeling with multiway shrinkage priors (Q2401360) (← links)
- Good, great, or lucky? Screening for firms with sustained superior performance using heavy-tailed priors (Q2428740) (← links)
- A characterization of Bayesian robustness for a normal location parameter (Q2439269) (← links)
- Geometric ergodicity for Bayesian shrinkage models (Q2452109) (← links)
- Posterior contraction in sparse Bayesian factor models for massive covariance matrices (Q2510828) (← links)
- Time-varying sparsity in dynamic regression models (Q2512529) (← links)
- Nearly optimal Bayesian shrinkage for high-dimensional regression (Q2683046) (← links)
- Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis (Q2686051) (← links)
- A Bayesian graphical approach for large-scale portfolio management with fewer historical data (Q2686273) (← links)
- Modeling time-varying parameters using artificial neural networks: a GARCH illustration (Q2700575) (← links)
- Sparse estimation: an MMSE approach (Q2700880) (← links)
- Bayesian Approaches for Large Biological Networks (Q2800194) (← links)
- High-dimensional posterior consistency of the Bayesian lasso (Q2832662) (← links)
- Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression (Q2861812) (← links)
- Dynamic logistic regression and dynamic model averaging for binary classification (Q2893978) (← links)
- Profiling the effects of short time-course cold ischemia on tumor protein phosphorylation using a Bayesian approach (Q3119845) (← links)
- Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation (Q3121171) (← links)
- Demand Models With Random Partitions (Q3304831) (← links)
- Bayesian variable selection and shrinkage strategies in a complicated modelling setting with missing data: A case study using multistate models (Q3389289) (← links)
- Gaussian Variational Approximation With a Factor Covariance Structure (Q3391080) (← links)
- Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors (Q3391190) (← links)
- Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods (Q3391194) (← links)
- Scalable Bayesian Regression in High Dimensions With Multiple Data Sources (Q3391441) (← links)
- Bayesian Deep Net GLM and GLMM (Q3391454) (← links)
- Testing Sparsity-Inducing Penalties (Q3391458) (← links)
- Confounder selection via penalized credible regions (Q3465362) (← links)
- Bayesian Neural Networks for Selection of Drug Sensitive Genes (Q4559675) (← links)
- Adjusting for selection bias in assessing treatment effect estimates from multiple subgroups (Q4626724) (← links)
- Well-Posed Bayesian Inverse Problems with Infinitely Divisible and Heavy-Tailed Prior Measures (Q4636416) (← links)
- Bayesian Semiparametric Multivariate Density Deconvolution (Q4690967) (← links)
- The Spike-and-Slab LASSO (Q4690970) (← links)
