Model-based Matching
Published:
Posts by Collection
portfolio
publications
Student Evaluations of Teaching (Mostly) Do Not Measure Teaching Effectiveness
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We showed that student evaluations of teaching are biased against female instructors, and it is not possible to adjust for the bias due to its dependence on many other factors.
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permute: a Python Package for Permutation Methods
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permute is a Python package for permutation testing.
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Simple Random Sampling: Not So Simple
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We propose several best practices for researchers using PRNGs for simulations, including the wide adoption of hash function based PRNGs.
Nonparametric Risk Attribution for Factor Models of Portfolios
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We explain a two-step process for partitioning the risk of projected returns into contributions from latent factors using nonparametric regression methods.
An Empirical Comparison of Parametric and Permutation Tests for Regression Analysis of Randomized Experiments
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We compared traditional ANCOVA to permutation approaches in the analysis of randomized experiments.
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The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences
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I contributed two case studies of my data science workflow.
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Next Steps for the Colorado Risk-Limiting Audit (CORLA) Program
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We proposed a strategy for Colorado to conduct risk-limiting post-election audits of contests spanning jurisdictions that use heterogeneous voting systems.
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Random Problems with R
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Faulty algorithms in R’s random sampling functions.
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The Risk Limit of Bayesian Audits
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I presented this work at the E-VOTE-ID 2018 PhD Colloquium.
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Risk-Limiting Audits by Stratified Union-Intersection Tests of Elections (SUITE)
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We’ve developed a new statistical method for risk-limiting post-election audits of stratified samples of ballots.
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Bernoulli Ballot Polling: A Manifest Improvement for Risk-Limiting Audits
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Ballot polling RLAs using Bernoulli sampling, rather than simple random sampling, can bypass current logistical challenges.
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talks
Talk 1 on Relevant Topic in Your Field
Published in UC San Francisco, Department of Testing, 2012
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Tutorial 1 on Relevant Topic in Your Field
Published in UC-Berkeley Institute for Testing Science, 2013
Talk 2 on Relevant Topic in Your Field
Published in London School of Testing, 2014
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published in Testing Institute of America 2014 Annual Conference, 2014
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Stat 20: Introduction to Probability and Statistics
Published in UC Berkeley, Department of Statistics, 2015
I was the graduate student instructor for Stat 20, taught by Hank Ibser.
Stat 215B: Statistical Models - Theory and Application
Published in UC Berkeley, Department of Statistics, 2016
I was the graduate student instructor for Stat 215B, taught by Jon McAuliffe.
R Bootcamp: Graphics
Published in UC Berkeley, Department of Statistics, 2016
I designed and taught the lesson on creating graphics in R. Read the slides or watch a screencast of the presentation.
Stat 215A: Statistical Models - Theory and Application
Published in UC Berkeley, Department of Statistics, 2016
I gave a guest lecture on hypothesis testing in Stat 215A, taught by Philip Stark. Slides are here.
SGSA Computing Talks: Gitting the most out of git!
Published in UC Berkeley, Department of Statistics, 2017
I designed and taught a lesson on using git and GitHub for collaborative reproducible workflows for the Statistics Graduate Student Association. The presentation materials are here.