selective-inference / Python-softwareLinks
Python software for selective inference
☆52Updated 2 years ago
Alternatives and similar repositories for Python-software
Users that are interested in Python-software are comparing it to the libraries listed below
Sorting:
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- Software for selective inference☆17Updated 2 years ago
- ☆92Updated 5 months ago
- ☆98Updated 7 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Path algorithm for generalized lasso problems☆32Updated 2 years ago
- Bayesian Regression Models in Pyro☆72Updated 10 months ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- Collapsed Variational Bayes☆71Updated 5 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Random Forests for Conditional Density Estimation☆42Updated 3 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Generalized lasso implementations☆46Updated 7 months ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 3 years ago
- GAP Safe Screening Rules for Sparse-Group Lasso.☆15Updated 6 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- Knockoffs for controlled variable selection☆37Updated 2 weeks ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Basic time series modeling with Stan and Pystan☆33Updated 7 years ago
- Markov Switching Models for Statsmodels☆23Updated 8 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 years ago
- The Python wrapper for LowRankModels.jl.☆15Updated 5 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year