Code for reproducing the main figures in https://arxiv.org/abs/2106.00170.

Python implementation for Bellman Conformal Inference algorithm for time series forecasting.

Tools for conformal inference in regression

Lightweight, useful implementation of conformal prediction on real data.

Repository of 2020 election forecasts built by students of Harvard Gov 1347.

Source code for the pip library for GABRIEL

A guidance language for controlling large language models.

An R modeling language for convex optimization problems.

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.

Python client for RealClearPolitics.

Course materials for Advanced Topics in Statistical Learning, Spring 2024

Conformal prediction for time-series applications.

Our recommendations for setting up your Visual Studio Code

Word counts and readability statistics in R markdown documents

A Beamer theme featuring IQSS orange.

Methods for online conformal prediction.

Download ⬇️ Qualtrics survey data directly into R!

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Probabilistic Machine Learning: Advanced Topics

Multidimensional item response theory

Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.

Replication Data for: Division Does Not Imply Predictability: Demographics Continue to Reveal Little About Voting and Partisanship

Data and code behind the articles and graphics at FiveThirtyEight

Repo for Yale Applied Empirical Methods PHD Course

2020-election-night-model