jasonge27 / picassoLinks
Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
☆76Updated 3 years ago
Alternatives and similar repositories for picasso
Users that are interested in picasso are comparing it to the libraries listed below
Sorting:
- Comparisons between best subset selection and other popular sparse regression estimators☆87Updated 2 years ago
- Regularization paths for SCAD- and MCP-penalized regression models☆43Updated this week
- Efficient Algorithms for L0 Regularized Learning☆102Updated last year
- Generalized lasso implementations☆46Updated 11 months ago
- Regularization paths for regression models with grouped covariates☆34Updated last month
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆70Updated 7 years ago
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 5 years ago
- Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net☆10Updated 10 months ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆47Updated 7 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- ☆92Updated 9 months ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated last year
- A complete environment for Bayesian inference within R☆95Updated last year
- ☆32Updated 4 months ago
- Dimension Reduction Methods for Multivariate Time Series☆61Updated 3 months ago
- repo for "Optimal Inference After Model Selection"☆14Updated 8 years ago
- Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for no…☆67Updated 5 years ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆75Updated 10 months ago
- Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences☆100Updated 2 months ago
- Solving Statistical Optimization Problems Using the ADMM Algorithm☆76Updated 8 years ago
- ☆95Updated last year
- A Semi-Supervised Learning package for the R programming language☆58Updated last year
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- Toolbox for Bayesian Optimization and Model-Based Optimization in R☆188Updated 2 years ago
- An R modeling language for convex optimization problems.☆213Updated 10 months ago
- Causal Inference using Bayesian Additive Regression Trees☆82Updated last month
- Implementing MCMC sampling from scratch in R for various Bayesian models☆110Updated last year