pbstark Goto Github PK
Name: Philip B. Stark
Type: User
Company: Faculty at UC Berkeley / Consultant
Twitter: philipbstark
Location: United States
Name: Philip B. Stark
Type: User
Company: Faculty at UC Berkeley / Consultant
Twitter: philipbstark
Location: United States
the ALPHA risk-limiting audit method
This repo contains python3 code for running or assisting with post-election audits.
web-based tools for risk-limiting audits: ballot-level comparison and ballot polling
Introductory PhD course in Statistics for STEM and Humanities
Code for Bernoulli Ballot Polling: A Manifest Improvement for Risk-Limiting Audits, Ottoboni, Bernhard, Halderman, Rivest, and Stark (2018)
theory and code for RLAs: Colorado and San Francisco
IPython notebook for Risk-Limiting Audit of 2014 Danish portion of the EU Parliamentary elections
supporting code and data for Ottoboni and Stark, 2019, Election Integrity and Electronic Voting Machines in 2018 Georgia, USA
Setup for $HOME with git for new systems
Martingale-based inferences, with applications to risk-limiting election audits (RLAs)
Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
Teaching materials for nonparametric statistics
overstatement-net-equivalent audits: software to generate results in the paper
Materials for a 30-hour course in Statistics for Engineers, given at University of Padova
permutation tests and confidence sets
Reproducibility case study contributions
Repo for BIDS reproducibility meeting May 21-22
Notes for Reproducible and Collaborative Statistical Data Science, Statistics 159/259, fall 2018, UC Berkeley
materials for a course in Reproducible and Collaborative Data Science
create materials to simulate an RLA, including ballots, instructions, and a worksheet
Statistics 157, Fall 2017, UC Berkeley
work product from Peder Sather Center award, "Mainstreaming Sensitivity Analysis And Uncertainty Auditing"
Sets of Half-Average Nulls Generate Risk-Limiting Audits: tools for assertion-based risk-limiting election audits
idiosyncratic lecture notes on statistics
Conservative and exact inference about stratified binary populations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.