Skip to content
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
Jupyter Notebook Other
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
data Added data files for ML visualization Nov 14, 2018
examples
homework Added third homework Nov 3, 2018
notebooks Rendered GP notebook May 7, 2019
.gitignore Removed images from .gitignore Sep 20, 2018
README.md Added binder badge to README Dec 11, 2017
environment.yml

README.md

Bios8366

Binder

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

Course covers numerical optimization, statistical machine learning, Markov Chain Monte Carlo (MCMC), variational inference (VI) algorithms, data augmentation algorithms with applications for model fitting and techniques for dealing with missing data.

Prerequisites: Bios 6341 (Fundamentals of Probability), Bios 6342 (Contemporary Statistical Inference), or permission of instructor. Students must be familiar with basic probability, have some formal programming experience, and be comfortable using the Git version control system.

To install the Python packages for the course, clone the repository and run:

conda env create -f environment.yml

from inside the cloned directory. This assumes that Anaconda Python is installed.

All content is licensed under CC-BY-SA 3.0 unless otherwise stated.

You can’t perform that action at this time.