{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Statistics 157: Nonparametric Inference and Sensitivity Auditing with Applications to Social Good\n", "\n", "## Index to Materials" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "+ [Overview](./overview.ipynb)\n", "+ [Mathematical Foundations](./math-foundations.ipynb)\n", "+ [Pseudo-random number generation](./pseudo-random.ipynb)\n", "+ [Generating random permutations and random samples](./permute-sample.ipynb)\n", "+ [Introduction to election auditing and the Kaplan-Markov Inequality](./audit.ipynb)\n", "+ [Confidence bounds for the mean of finite populations](./canonical.ipynb)\n", " - [The Normal approximation](./normApprox.ipynb)\n", " - [Duality between testing and confidence sets](./duality.ipynb)\n", " - [Confidence sets derived from the Binomial](./binomial.ipynb)\n", " - [Wald's Sequential Probability Ratio Test (SPRT)](./sprt.ipynb)\n", " - [The SPRT for sampling without replacement](./sprtNoReplacement.ipynb)\n", " - [The Kaplan-Wald confidence bound](./kaplanWald.ipynb)\n", " - [Dollar-Unit Sampling and taint](./dus.ipynb)\n", " - [Penny sampling](./pennySampling.ipynb)\n", " - [Method shootout](./shootout.ipynb)\n", "+ [Introduction to permutation tests; application to gender bias in teaching evaluations](./permute.ipynb)\n", "+ [Abstract permutation tests using projections](./permute-distance.ipynb)\n", "+ [The EM algorithm](./em.ipynb) (incomplete)\n", "+ [P-values, Probability, Priors, Rabbits, Quantifauxcation, and Cargo-Cult Statistics](./rabbits.ipynb)\n", "+ [Inequalities](./math-inequalities.ipynb)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bibliography and Reading\n", "\n", "+ https://www.ted.com/talks/cathy_o_neil_the_era_of_blind_faith_in_big_data_must_end/\n", "+ https://www.wired.com/story/defining-hate-speech-online-is-imperfect-art-as-much-as-science/\n", "+ https://www.wired.com/story/machines-taught-by-photos-learn-a-sexist-view-of-women\n", "+ https://www.wired.com/story/bail-reform-tech-justice\n", "+ http://onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2016.00960.x/full\n", "+ http://www.annualreviews.org/doi/full/10.1146/annurev-resource-091912-151843\n", "+ The _permute_ developer guide: http://statlab.github.io/permute/dev/index.html\n", "+ Arratia, R., S. Garibaldi, L. Mower, and P.B. Stark, 2015. Some\n", "people have all the luck. Mathematics Magazine, 88, 196–211.\n", "doi:10.4169/math.mag.88.3.196.c, Reprint: http://www.stat.berkeley.edu/~stark/Preprints/luck15.pdf\n", "+ Boring, A., K. Ottoboni, and P.B. Stark, 2016. \n", "[Student Evaluations of Teaching (Mostly) Do Not Measure Teaching Effectiveness](https://www.scienceopen.com/document?vid=818d8ec0-5908-47d8-86b4-5dc38f04b23e)\n", "+ Clark, A., 1984. _Elements of Abstract Algebra_, Dover.\n", "+ Hardy, G., J.E. Littlewood, and G. P\\'{o}lya, 1952. _Inequalities, 2nd ed._, Cambridge University Press, Cambridge.\n", "+ Lehmann, E., _Nonparametrics: Statistical Methods Based on Ranks_, 1st ed. 1975; revised edition 2006.\n", "+ Lugosi, G., 2006. _Concentration-of-Measure Inequalities_\n", "+ Pitman, E.J.G., 1937. [Significance Tests Which May be Applied to Samples From any Populations](https://www.jstor.org/stable/2984124?seq=1#page_scan_tab_contents)\n", "+ Stark, P.B., 1997--2017. _SticiGui_, statistics.berkeley.edu/users/stark/SticiGui\n", "+ Stark, P.B., and D.A. Freedman, 2001. [What is the Chance of an Earthquake?](https://www.stat.berkeley.edu/~stark/Preprints/611.pdf)\n", "+ Stark, P.B., 2016. [Pay no Attention to the Model Behind the Curtain](https://www.stat.berkeley.edu/~stark/Preprints/eucCurtain15.pdf)\n", "+ Stark, P.B., 2010. [Super-Simple Simultaneous Single-Ballot Risk-Limiting Audits](https://www.usenix.org/legacy/event/evtwote10/tech/full_papers/Stark.pdf)\n", "+ Lindeman, M., and P.B. Stark, 2012. [A Gentle Introduction to Risk-Limiting Audits](https://www.stat.berkeley.edu/~stark/Preprints/gentle12.pdf)\n", "+ Stark, P.B., and D.A. Wagner, 2012. [Evidence-Based Elections](https://www.stat.berkeley.edu/~stark/Preprints/evidenceVote12.pdf)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.1" } }, "nbformat": 4, "nbformat_minor": 2 }