2 papers
cs.DS2026
Computation-Utility-Privacy Tradeoffs in Bayesian Estimation
Sitan Chen, Jingqiu Ding, Mahbod Majid +1
Bayesian methods lie at the heart of modern data science and provide a powerful scaffolding for estimation in data-constrained settings and principled quantification and propagatio…
math.ST2023
Improving Pearson's chi-squared test: hypothesis testing of distributions -- optimally
Trung Dang, Walter McKelvie, Paul Valiant +1
Pearson's chi-squared test, from 1900, is the standard statistical tool for "hypothesis testing on distributions": namely, given samples from an unknown distribution that may o…