82 citations · 83 across the 5 of their papers we have counts for
5 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…
Nonparametric estimation of a mixing distribution for a family of linear stochastic dynamical systems
Alona Kryshchenko, Alan Schumitzky, Mike van Guilder +1
In this paper we develop a nonparametric maximum likelihood estimate of the mixing distribution of the parameters of a linear stochastic dynamical system. This includes, for exampl…
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…