BayesianTestsML / tutorialLinks
Tutorial on Bayesian tests for Machine Learning
☆78Updated 5 years ago
Alternatives and similar repositories for tutorial
Users that are interested in tutorial are comparing it to the libraries listed below
Sorting:
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- ☆93Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆64Updated 2 weeks ago
- Dimensionality reduction for binary data☆51Updated 5 years ago
- simple customizable scoring systems in python☆40Updated 2 years ago
- ☆76Updated last year
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Basic time series modeling with Stan and Pystan☆33Updated 8 years ago
- Tools for conformal inference in regression☆251Updated last year
- Simulation results for "Assessing Time-Varying Causal Effect Moderation in Mobile Health"☆17Updated 5 years ago
- Generalized linear mixed-effect model in Python☆183Updated 7 years ago
- simple customizable risk scores in python☆142Updated 2 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆269Updated last year
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆79Updated last year
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆30Updated 9 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆89Updated 2 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- ☆34Updated 3 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 8 years ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆35Updated last year
- Variable importance through targeted causal inference, with Alan Hubbard☆59Updated 3 months ago
- Stan models for state space time series☆146Updated 8 years ago
- ☆208Updated 2 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated 3 months ago
- Confidence sequences and uniform boundaries☆77Updated last month
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 4 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 2 months ago
- Toolbox for Bayesian Optimization and Model-Based Optimization in R☆188Updated 2 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆55Updated 8 years ago
- Causal Inference using Bayesian Additive Regression Trees☆85Updated 6 months ago