Bayesian nonparametric modeling
Kernel-based modeling of binomial and multinomial probabilities, with conjugate updating and practical uncertainty quantification.
01 / Research
Kernel-based modeling of binomial and multinomial probabilities, with conjugate updating and practical uncertainty quantification.
Surrogate modeling and exact-penalty methods for expensive black-box optimization under constraints.
Bayesian dose-finding and phase I/II platform designs, including information borrowing and time-to-event outcomes.
Reproducible methods and R software that connect statistical methodology with usable implementations.