berkeley-stat238 / stat238-fall-2016Links
This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.
☆30Updated 9 years ago
Alternatives and similar repositories for stat238-fall-2016
Users that are interested in stat238-fall-2016 are comparing it to the libraries listed below
Sorting:
- An R package for large scale estimation with stochastic gradient descent☆62Updated 3 months ago
- repo for "Optimal Inference After Model Selection"☆15Updated 8 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- ☆35Updated 5 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 8 years ago
- Generalized lasso implementations☆47Updated last year
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆30Updated 9 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- CausalFX R Package☆13Updated 10 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆89Updated 2 years ago
- ☆34Updated 3 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆30Updated 5 years ago
- ☆12Updated 9 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆84Updated 9 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Notes on generalized linear models☆110Updated 7 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- simple customizable scoring systems in python☆40Updated 2 years ago
- This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.☆35Updated 8 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Path algorithm for generalized lasso problems☆34Updated 3 years ago
- Slides and code for Bayesian nonparametrics in R and Julia☆55Updated 10 years ago
- Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D…☆35Updated 6 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆59Updated 3 months ago
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- ☆31Updated 9 years ago
- ☆10Updated 3 years ago
- Restricted Boltzmann Machines in R☆36Updated 5 years ago