jgscott / SDS385Links
SDS 385: Statistical Models for Big Data
☆17Updated 8 years ago
Alternatives and similar repositories for SDS385
Users that are interested in SDS385 are comparing it to the libraries listed below
Sorting:
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 8 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆30Updated 9 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 10 months ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 8 years ago
- A tutorial on R and Hadoop, using the RHadoop project☆41Updated 10 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆59Updated 3 months ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆56Updated 6 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Lecture notes from a statistics course I teach at Potsdam☆29Updated 5 years ago
- Various tools for linear, nonlinear and nonparametric regression.☆125Updated last month
- Notes on generalized linear models☆110Updated 7 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 3 months ago
- PhD course: Quantitative Methods for Political Science III (NYU) -- Recitation Materials☆53Updated 11 years ago
- Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago☆79Updated 3 years ago
- Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.☆44Updated 8 years ago
- R Interface for LightGBM☆46Updated 8 years ago
- libFM R package☆26Updated 9 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated 3 months ago
- Blog about time series data mining in R.☆74Updated 2 years ago
- Recurrent Neural Networks in R☆77Updated last month
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Updated 8 years ago
- A statistical framework that serves as a common interface to a large range of models☆111Updated 2 years ago
- Methods workshop: Automated Text Analysis with R☆34Updated 9 years ago
- ☆34Updated 3 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 9 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- Lectures from my DS Text as Data course offered in Spring 2018.☆77Updated 4 years ago
- Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference☆112Updated 4 months ago
- An introduction to Bayesian statistics☆75Updated last year