Volodymyr Minin, Ph.D.

2007 University of California, Los Angeles, Los Angeles, CA 
Biostatistics Biology, Genetics
"Volodymyr Minin"


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Marc A. Suchard grad student 2007 UCLA
 (Exploring evolutionary heterogeneity with change -point models, Gaussian Markov random fields, and Markov chain induced counting processes.)
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Magee AF, Höhna S, Vasylyeva TI, et al. (2020) Locally adaptive Bayesian birth-death model successfully detects slow and rapid rate shifts. Plos Computational Biology. 16: e1007999
Karcher MD, Carvalho LM, Suchard MA, et al. (2020) Estimating effective population size changes from preferentially sampled genetic sequences. Plos Computational Biology. 16: e1007774
Faulkner JR, Magee AF, Shapiro B, et al. (2020) Rejoinder for discussion on "Horseshoe-based Bayesian nonparametric estimation of effective population size trajectories". Biometrics
Faulkner JR, Magee AF, Shapiro B, et al. (2020) Horseshoe-based bayesian nonparametric estimation of effective population size trajectories. Biometrics
Fourment M, Magee AF, Whidden C, et al. (2019) 19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology. Systematic Biology
Oaks JR, Cobb KA, Minin VN, et al. (2019) Marginal likelihoods in phylogenetics: a review of methods and applications. Systematic Biology
Xu J, Koelle S, Guttorp P, et al. (2019) Statistical inference for partially observed branching processes with application to cell lineage tracking of in vivo hematopoiesis The Annals of Applied Statistics. 13: 2091-2119
Faulkner JR, Minin VN. (2018) Locally Adaptive Smoothing with Markov Random Fields and Shrinkage Priors. Bayesian Analysis. 13: 225-252
Fintzi J, Cui X, Wakefield J, et al. (2017) Efficient Data Augmentation for Fitting Stochastic Epidemic Models to Prevalence Data. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 26: 918-929
Ho LST, Xu J, Crawford FW, et al. (2017) Birth/birth-death processes and their computable transition probabilities with biological applications. Journal of Mathematical Biology
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