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Jason Xu
Vladimir N Minin

Showing results (1-10 of 136) with videos related to

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Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|March 8, 2016
Efficient Transition Probability Computation for Continuous-Time Branching Processes via Compressed SensingJason Xu, Vladimir N Minin
Biometrics|July 8, 2015
Likelihood-based inference for discretely observed birth-death-shift processes, with applications to evolution of mobile genetic elementsJason Xu, Peter Guttorp, Midori Kato-Maeda, et al.
Journal of Mathematical Biology|July 26, 2017
Birth/birth-death processes and their computable transition probabilities with biological applicationsLam Si Tung Ho, Jason Xu, Forrest W Crawford, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 9, 2017
Calculating Higher-Order Moments of Phylogenetic Stochastic Mapping Summaries in Linear TimeAmrit Dhar, Vladimir N Minin
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 12, 2014
Phylogenetic stochastic mapping without matrix exponentiationJan Irvahn, Vladimir N Minin
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|October 15, 2008
Fast, accurate and simulation-free stochastic mappingVladimir N Minin, Marc A Suchard
Statistics in Medicine|June 7, 2013
Fitting and interpreting continuous-time latent Markov models for panel dataJane M Lange, Vladimir N Minin
Journal of Mathematical Biology|September 18, 2007
Counting labeled transitions in continuous-time Markov models of evolutionVladimir N Minin, Marc A Suchard
Bayesian Analysis|May 15, 2018
Locally Adaptive Smoothing with Markov Random Fields and Shrinkage PriorsJames R Faulkner, Vladimir N Minin
Biometrics|February 16, 2013
Gaussian process-based Bayesian nonparametric inference of population size trajectories from gene genealogiesJulia A Palacios, Vladimir N Minin
Pageof 14

Showing results (1-10 of 136) with videos related to

Sort By:
Pageof 14
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|March 8, 2016
Efficient Transition Probability Computation for Continuous-Time Branching Processes via Compressed SensingJason Xu, Vladimir N Minin
Biometrics|July 8, 2015
Likelihood-based inference for discretely observed birth-death-shift processes, with applications to evolution of mobile genetic elementsJason Xu, Peter Guttorp, Midori Kato-Maeda, et al.
Journal of Mathematical Biology|July 26, 2017
Birth/birth-death processes and their computable transition probabilities with biological applicationsLam Si Tung Ho, Jason Xu, Forrest W Crawford, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 9, 2017
Calculating Higher-Order Moments of Phylogenetic Stochastic Mapping Summaries in Linear TimeAmrit Dhar, Vladimir N Minin
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 12, 2014
Phylogenetic stochastic mapping without matrix exponentiationJan Irvahn, Vladimir N Minin
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|October 15, 2008
Fast, accurate and simulation-free stochastic mappingVladimir N Minin, Marc A Suchard
Statistics in Medicine|June 7, 2013
Fitting and interpreting continuous-time latent Markov models for panel dataJane M Lange, Vladimir N Minin
Journal of Mathematical Biology|September 18, 2007
Counting labeled transitions in continuous-time Markov models of evolutionVladimir N Minin, Marc A Suchard
Bayesian Analysis|May 15, 2018
Locally Adaptive Smoothing with Markov Random Fields and Shrinkage PriorsJames R Faulkner, Vladimir N Minin
Biometrics|February 16, 2013
Gaussian process-based Bayesian nonparametric inference of population size trajectories from gene genealogiesJulia A Palacios, Vladimir N Minin
Pageof 14