title: [Bayesian estimates of unknown parameters of mathematical models of the dynamics of the mutation process and changes in the ratio of cells having passed different numbers of divisions in a culture].
abstract: With the help of Bayesian methods, the conditions of solving experimental data samples and their divisions were established, equivalence of estimations of unknown linear dynamic models parameters proved, the estimations having been worked out by both accounting calculation errors and using their compensations with additional noise in the original model's discrete analog. The results are used in mathematical modeling of changing intensity of the process of hereditary pathology frequencies, and the process of changing the ratio of cells having passed different numbers of divisions in the culture.
authors.forename: I K
authors.initials: IK
authors.lastname: Volkov
mesh_terms: D001499:Bayes Theorem; D002455:Cell Division; D002478:Cells, Cultured; D004314:Down Syndrome / Q000235:genetics; D006801:Humans; D008957:Models, Genetic; D009154:Mutation; D011336:Probability
vernacular_title: Baĭesovy otsenki neizvestnykh parametrov matematicheskikh modeleĭ dinamiki intensivnosti mutatsionnogo protsessa i protsessa izmeneniia sootnosheniia kletok, proshedshikh raznoe chislo deleniĭ v kul'ture.