Binh Ho

I am a first-year PhD student in the Mathematical Statistics program at the University of Maryland, College Park. Before coming to Maryland I studied applied mathematics and mathematical statistics in Vietnam, and taught probability and mathematical statistics at the University of Science, VNU–HCMC.

I work on statistical theory with an eye toward methods people actually use: high-dimensional inference, Bayesian and generalized-Bayes procedures, mixture models and data that are missing not at random, and time series and stochastic models. Lately I have also been thinking about learning and decision making under partial observability. Most of my questions end up being about when a procedure provably works, at what rate, and what breaks when the assumptions fail.

Statistics appeals to me because it asks for humility and ambition at once: it treats randomness as part of the problem rather than a nuisance, and still insists on finding the structure that survives it.

I learned very early the difference between knowing the name of something and knowing something.

The notes on this site are my attempt at the second kind of knowing. You can reach me at binhho660@gmail.com.