Mike Higgins
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E-Mail: |
mjh4646 AT stat DOT berkeley DOT edu |
Hi! I'm Mike Higgins. I am a PhD candidate at University of California at Berkeley. My research interests include exact inference, causal inference, and clustering. I especially like to make connections between problems in these fields and combinatorial optimization.
Papers
Higgins, M.J., R.L. Rivest and P.B. Stark, 2011. "Sharper p-values for Stratified Post-Election Audits," Statistics, Politics, and Policy: Vol. 2: Iss. 1, Article 7.
Talks
Exact Inference using Stratified Random Samples and the 0-1 Knapsack Problem. Joint Statistical Meetings. Miami, FL. August 4, 2011.
R Packages
Here are a list of R packages that I have authored and that are posted on The Comprehensive R Archive Network (CRAN). In the near future, I wish to create a 0-1 knapsack solver package and an exact inference using stratified random samples package.
elec.strat: Package for election audits using stratified random samples. Co-authored with Hua Yang.
Classes Taught
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Stat 2: |
Summer 2007, GSI under Hank Ibser |
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Fall 2007, GSI under Professor David Brillinger |
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Stat 135: |
Fall 2008, GSI under Professor John Rice |
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Stat 21: |
Spring 2010, GSI under Hank Ibser |
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Stat 20: |
Fall 2010, GSI under Professor Noureddine El Karoui |
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Stat W21: |
Summer 2011, GSI under Professor Philip Stark |