Computational inference of dated evolutionary histories relies upon vari...
Hidden Markov models (HMMs) are general purpose models for time-series d...
We describe a new and computationally efficient Bayesian methodology for...
Tree comparison metrics have proven to be an invaluable aide in the
reco...
Diversities are a generalization of metric spaces in which a non-negativ...
In the case of a linear state space model, we implement an MCMC sampler ...
Smoothing splines can be thought of as the posterior mean of a Gaussian
...
Trajectory reconstruction is the process of inferring the path of a movi...