Justin Kao All Izz Well (All is well) — 3 Idiots

About

Hi y’all, welcome to my page. I am a PhD student in Statistics at the Department of Statistics, George R. Brown School of Engineering and Computing, Rice University. My research lies at the intersection of Bayesian methodology, predictive inference, time series analysis, and differential privacy, with application interests in quantitative trading and actuarial science.

Currently, I work with Dr. Meng Li at Rice University on Hierarchical Bayes Optimal Posterior Contraction for Gaussian Process Derivative Functionals.

Previously, I worked with Dr. Jerry Reiter at Duke University on Bayesian and frequentist intervals under differential privacy for binomial proportions, which is currently under review.

In addition to my academic research, I also enjoy collaborating on computational and methodological projects. Recently, I worked with my Duke colleagues Holly and Alex on a side project involving statistical computing and applied modeling. More details will be announced soon.

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Publications

Interval Estimation for Binomial Proportions Under Differential Privacy. Justin (Hsuan-Chen) Kao (Duke University), Jerry Reiter (Duke University)