A random walk model of oligodendrocyte generation in vitro and associated estimation problems.
A branching stochastic process proposed earlier to model oligodendrocyte generation by O-2A progenitor cells under in vitro conditions does not allow invoking the maximum likelihood techniques for estimation purposes. To overcome this difficulty, we propose a partial likelihood function based on an embedded random walk model of clonal growth and differentiation of O-2A progenitor cells. Under certain conditions, the partial likelihood function yields consistent estimates of model parameters. The usefulness of this approach is illustrated with computer simulations and data analyses.
Universität Würzburg, Germany.
E
E
von Collani
A
A
Tsodikov
A
A
Yakovlev
M
M
Mayer-Proschel
M
M
Noble
D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D016013:Likelihood Functions; D008954:Models, Biological; D009836:Oligodendroglia / Q000502:physiology*; D051381:Rats; D013234:Stem Cells / Q000502:physiology; D013269:Stochastic Processes