82 citations · 83 across the 4 of their papers we have counts for
4 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…
Two General Methods for Population Pharmacokinetic Modeling: Non-Parametric Adaptive Grid and Non-Parametric Bayesian
Tatiana Tatarinova, Michael Neely, Jay Bartroff +7
Population pharmacokinetic (PK) modeling methods can be statistically classified as either parametric or nonparametric (NP). Each classification can be divided into maximum likelih…