Pages that link to "Item:Q2301116"
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The following pages link to Contraction properties of shrinkage priors in logistic regression (Q2301116):
Displaying 14 items.
- Conditions for posterior contraction in the sparse normal means problem (Q276234) (← links)
- Default priors for the intercept parameter in logistic regressions (Q1727911) (← links)
- Ultra high-dimensional multivariate posterior contraction rate under shrinkage priors (Q2057840) (← links)
- Posterior contraction in group sparse logit models for categorical responses (Q2123271) (← links)
- Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation (Q2156815) (← links)
- Horseshoe shrinkage methods for Bayesian fusion estimation (Q2157506) (← links)
- Bayesian discriminant analysis using a high dimensional predictor (Q2316972) (← links)
- Shrinkage priors for Bayesian penalized regression (Q2332812) (← links)
- Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior (Q5885111) (← links)
- Bayesian analysis for matrix-variate logistic regression with/without response misclassification (Q6063145) (← links)
- Bayesian tensor response regression with an application to brain activation studies (Q6117929) (← links)
- High-dimensional Bayesian network classification with network global-local shrinkage priors (Q6203344) (← links)
- Empirical Bayes inference in sparse high-dimensional generalized linear models (Q6595792) (← links)
- Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression (Q6631875) (← links)
