1. Introduction. 1.1. Bayesian approach. 1.2. Review of applications of mixture models in population pharmacokinetics. 1.3. Review of applications of mixture models to problems in computational biology. 1.4. Outline of the book -- 2. Mathematical description of nonlinear mixture…
Provides an introduction to the important subject of nonlinear mixture models from a Bayesian perspective. This title contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications.
This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as we…
This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as we…
