Chris Fonnesbeck

statistical-analysis-python-tutorial. Statistical Data Analysis in Python

Bios8366. Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics

ScipySuperpack. Recent builds of Numpy, Scipy, Matplotlib, iPython and PyMC for OSX

scipy2014_tutorial. Tutorial: Bayesian Statistical Analysis in Python

Bayes_Computing_Course. Jupyter Notebook

intro_stat_modeling_2017. Introduction to Statistical Modeling with Python (PyCon 2017)

gp_regression. A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

mcmc_pydata_london_2019. PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

pytenn2014_tutorial. PyTennessee 2014: Statistical Data Analysis in Python

Bios6301. Biostatistics 301: Introduction to Statistical Computing

probabilistic_python. PyData London 2022 Tutorial

PyMC3_DataScienceLA. PyMC3 tutorial for DataScience LA (January 2017)

multilevel_modeling. Tutorial on multilevel modeling, using Gelman radon example

stan_workshop_2016. Bayesian Modeling using Stan in R (May/June 2016)

scipy2015_tutorial. Computational Statistics II Tutorial at SciPy 2015

bayes_tutorial_2019. Introductory overview of Bayesian inference

PyMC3_Oslo. Probabilistic programming in Python workshop at Oslo universitetssykehus HF

pymc_tutorial. PyMC Tutorial for SciPy 2011

enar_2019_tutorial. A Primer on Python for Statistical Programming and Data Science

PyMC3_EUSS. Course in Probabilistic Programming in Python for the 2018 EU Summer School

bayes_pydata_london_2024. Probabilistic Programming and Bayesian Computing with PyMC

hierarchical_models_sports_analytics. Developing Hierarchical Models for Sports Analytics

ngcm_pandas_2017. Python data analysis course for 2017 NGCM Summer Academy

vi_pydata_virginia_2025. A Beginner's Guide to Variational Inference

ngcm_pandas_course. Python data analysis course for 2015 NGCM Summer Academy

scientific-python-workshop. Scientific Python Programming Workshop, April 2016 Australia

ngcm_sklearn_2017. scikit-learn course for 2017 NGCM Summer Academy

gp_tutorial_pydata. PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3

ts_pydata_london_2025. Introduction to Bayesian Time Series Analysis with PyMC

election_pycast. PyMC3 implementation of Drew Linzer’s dynamic Bayesian election forecasting model

pymc_workshop. One-day workshop on probabilistic programming with PyMC

NCTC_course. Markov Decision Processes and Dynamic Optimization module at NCTC, March 2015

StatisticalLearningInPython. Implementing Hastie and Tibshirani's Course in Python

bayesian_mixer_london_2017. Fitting Gaussian process models in PyMC3: Bayesian Mixer London 2017 seminar

pymc_sdss_2024. SDSS 2024 Course: Probabilistic Programming and Bayesian Computing with PyMC

intro_to_pandas. A short introductory workshop on Pandas for applied users

gp_showdown. A comparison of Gaussian process fitting packages in Python

jupyter_for_reproducible_research. Jupyter for Reproducible Research

cqs_machine_learning. 2018 CQS Summer Institute course in machine learning

bayes_mixer_2023. London Bayes Mixer presentation, June 2023

baseball. Baseball data analysis in Python

du_pymc_tutorial. Data Umbrella Tutorial: Getting Started with PyMC 5

git_tutorial. Slides for SWC git lecture

useRshootout. useR session on comparing statistical computing languages

fonnesbeck.github.io. Strong Inference website

bimodal-bilateral. Outcomes in Children with Bilateral Cochlear implants and Bimodal Hearing

ebola_data_processing. Example of importing and cleaning external data

dbmi_seminar_2018. VUMC Seminar Series talk, October 2018

CharlestonLanesAnalysis. Development of shipping lanes recommendations for Port of Charleston based on right whale activity

bootcamp_python. Python files for Vanderbilt University Software Carpentry Bootcamp

disruptive_behavior_disorder_MA. Meta-analysis of psychosocial interventions for disruptive behavior disorder (DBD)

mbsr_intervention_study. Mindfulness-based stress reduction (MBSR) intervention study for autism outcomes

autism_screening. Meta-analysis of autism screening tools

bayesian_marcel. Bayesian implementation of Tango's MARCEL projection system

PKUMetaAnalysis. Vanderbilt EPC meta-analysis on PKU supplementary materials

pmi_example. Example models for Precision Medicine Initiative planning