The following pages link to BMSS (Q25364):
Displaying 16 items.
- Exploring dependence between categorical variables: benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms (Q254920) (← links)
- An inexact interior point method for \(L_{1}\)-regularized sparse covariance selection (Q621755) (← links)
- Cross-validation prior choice in Bayesian probit regression with many covariates (Q746215) (← links)
- Learning relational dependency networks in hybrid domains (Q747248) (← links)
- Poisson dependency networks: gradient boosted models for multivariate count data (Q747270) (← links)
- A fast splitting method tailored for Dantzig selector (Q887167) (← links)
- Peaceman-Rachford splitting for a class of nonconvex optimization problems (Q1687318) (← links)
- An alternating direction method for finding Dantzig selectors (Q1927184) (← links)
- A partially proximal linearized alternating minimization method for finding Dantzig selectors (Q1983897) (← links)
- Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior (Q2297232) (← links)
- Modeling association in microbial communities with clique loglinear models (Q2318667) (← links)
- Variable selection and dependency networks for genomewide data (Q3304982) (← links)
- Efficient Sparse Hessian-Based Semismooth Newton Algorithms for Dantzig Selector (Q5021412) (← links)
- Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates (Q5155198) (← links)
- Splitting methods for split feasibility problems with application to Dantzig selectors (Q5268470) (← links)
- Markov Neighborhood Regression for High-Dimensional Inference (Q5881128) (← links)
