1 citations · 1 across the 3 of their papers we have counts for
3 papers
A non-parametric optimal design algorithm for population pharmacokinetics
Markus Hovd, Alona Kryshchenko, Michael N. Neely +3
This paper introduces a non-parametric estimation algorithm designed to effectively estimate the joint distribution of model parameters with application to population pharmacokinet…
NPSA: Nonparametric Simulated Annealing for Global Optimization
Rong Chen, Alan Schumitzky, Alona Kryshchenko +3
In this paper we describe NPSA, the first parallel nonparametric global maximum likelihood optimization algorithm using simulated annealing (SA). Unlike the nonparametric adaptive…
RPEM: Randomized Monte Carlo Parametric Expectation Maximization Algorithm
Rong Chen, Alan Schumitzky, Alona Kryshchenko +4
Inspired from quantum Monte Carlo, by using unbiased estimators all the time and sampling discrete and continuous variables at the same time using Metropolis algorithm, we present…