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PyMC's Big Adventure (MLOSS Workshop 2018)

statistical-analysis-python-tutorial

Statistical Data Analysis in Python

HTML

1,574

Bios8366

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

Jupyter Notebook

534

ScipySuperpack

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

Shell

490

scipy2014_tutorial

Tutorial: Bayesian Statistical Analysis in Python

Jupyter Notebook

313

Bayes_Computing_Course

Jupyter Notebook

230

intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)

Jupyter Notebook

167

gp_regression

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

Jupyter Notebook

164

mcmc_pydata_london_2019

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

Jupyter Notebook

153

pytenn2014_tutorial

PyTennessee 2014: Statistical Data Analysis in Python

Bios6301

Biostatistics 301: Introduction to Statistical Computing

PyMC3_DataScienceLA

PyMC3 tutorial for DataScience LA (January 2017)

Jupyter Notebook

probabilistic_python

PyData London 2022 Tutorial

Jupyter Notebook

multilevel_modeling

Tutorial on multilevel modeling, using Gelman radon example

CSS

stan_workshop_2016

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

Jupyter Notebook

scipy2015_tutorial

Computational Statistics II Tutorial at SciPy 2015

Python

bayes_tutorial_2019

Introductory overview of Bayesian inference

Jupyter Notebook

PyMC3_Oslo

Probabilistic programming in Python workshop at Oslo universitetssykehus HF

Jupyter Notebook

bayes_course_2022

Probabilistic Programming and Bayesian Computing with PyMC

Jupyter Notebook

pymc_tutorial

PyMC Tutorial for SciPy 2011

Python

enar_2019_tutorial

A Primer on Python for Statistical Programming and Data Science

Jupyter Notebook

ComputationalMethodsCourse

iPython notebook for Computational Methods for Data Analysis course on Coursera

bayes_course_dec_2023

Probabilistic Programming and Bayesian Computing with PyMC

Jupyter Notebook

PyMC3_EUSS

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

Jupyter Notebook

bayes_course_july2020

Course materials for short course on Bayesian computation

Jupyter Notebook

ngcm_pandas_2017

Python data analysis course for 2017 NGCM Summer Academy

Jupyter Notebook

bayes_pydata_london_2024

Probabilistic Programming and Bayesian Computing with PyMC

Jupyter Notebook

ngcm_sklearn_2017

scikit-learn course for 2017 NGCM Summer Academy

Jupyter Notebook

scientific-python-workshop

Scientific Python Programming Workshop, April 2016 Australia

Jupyter Notebook

hierarchical_models_sports_analytics

Developing Hierarchical Models for Sports Analytics

Jupyter Notebook

gp_tutorial_pydata

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

Jupyter Notebook

ngcm_pandas_course

Python data analysis course for 2015 NGCM Summer Academy

Python

bayes_course_june_2024

Probabilistic Programming and Bayesian Computing with PyMC

Jupyter Notebook

StatisticalLearningInPython

Implementing Hastie and Tibshirani's Course in Python

bayesian_mixer_london_2017

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

Jupyter Notebook

election_pycast

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

Jupyter Notebook

pymc_workshop

One-day workshop on probabilistic programming with PyMC

Jupyter Notebook

NCTC_course

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

CSS

intro_to_pandas

A short introductory workshop on Pandas for applied users

Jupyter Notebook

gp_showdown

A comparison of Gaussian process fitting packages in Python

Jupyter Notebook

jupyter_for_reproducible_research

Jupyter for Reproducible Research

Jupyter Notebook

bayes_mixer_2023

London Bayes Mixer presentation, June 2023

Jupyter Notebook

cqs_machine_learning

2018 CQS Summer Institute course in machine learning

Jupyter Notebook

dqn_rl_outbreak_response

Deep Q-learning for Disease Outbreak Decision Modeling

Python

pymc_sdss_2024

SDSS 2024 Course: Probabilistic Programming and Bayesian Computing with PyMC

Jupyter Notebook

baseball

Baseball data analysis in Python

Jupyter Notebook

basic_bayes

Basic Bayesian analysis for comparing two groups with continuous and binary outcomes

Jupyter Notebook

tensorflow_demo

Quick tutorial on neural networks and TensorFlow

Jupyter Notebook

git_tutorial

Slides for SWC git lecture

useRshootout

useR session on comparing statistical computing languages

bmi_python_tutorial

Brief Python tutorial for Vanderbilt Biomedical Informatics big data class

Jupyter Notebook

framingham_risk

Functions for calculating the Framingham Risk Score (FRS)

Python

bimodal-bilateral

Outcomes in Children with Bilateral Cochlear implants and Bimodal Hearing

plotly_bayes

Bayesian analysis for Python with Plotly graphics

bayesball

Probabilistic models for the analysis of baseball data

fonnesbeck.github.io

Strong Inference website

HTML

bayes_course_dec_2024

Probabilistic Programming and Bayesian Computing with PyMC

Jupyter Notebook

ngcm_pandas_2016

Python data analysis course for 2016 NGCM Summer Academy

Jupyter Notebook

CharlestonLanesAnalysis

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

HTML

ebola_data_processing

Example of importing and cleaning external data

Jupyter Notebook

bootcamp_python

Python files for Vanderbilt University Software Carpentry Bootcamp

Python

autism_intervention_MA

Meta-analysis of Autism Intervention Effectiveness

Jupyter Notebook

dbmi_seminar_2018

VUMC Seminar Series talk, October 2018

HealthPolicyPython

Python programming workshop for Vanderbilt's Department of Health Policy, December 16, 2015

Jupyter Notebook

jupyter-ds

Docker containers for serving up Jupyter

Dockerfile

disruptive_behavior_disorder_MA

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

CDRN_Obesity

Mid-south CDRN Obesity Project

Jupyter Notebook

SDM_Tools

Decision Analysis Tools Course (March 2015)

bayesian_marcel

Bayesian implementation of Tango's MARCEL projection system

Jupyter Notebook

stronginference

Pelican CMS for Strong Inference

Makefile

python_and_r

Draft book chapters

git_training

Training repository for Bios301 students

autism_screening

Meta-analysis of autism screening tools

PKUMetaAnalysis

Vanderbilt EPC meta-analysis on PKU supplementary materials

TeX

pmi_example

Example models for Precision Medicine Initiative planning

Jupyter Notebook

mbsr_intervention_study

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

Jupyter Notebook

sdss_2024_course

SDSS 2024 Course: Probabilistic Programming and Bayesian Computing with PyMC

AHRQ_Complex_Interventions

AHRQ Tools for Systematic Reviews of Complex Interventions (Bayesian Inference)

CSS

CCASAnetRCourse

Support materials for CCASAnet's R short course

mongolia_measles

Mongolia measles outbreak intervention modeling

Jupyter Notebook

fonnesbeck/neurips_2018_talk

fonnesbeck

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