341 citations · 852 across the 28 of their papers we have counts for
4 papers · 1 filter
Discussion of "Geodesic Monte Carlo on Embedded Manifolds"
Simon Byrne, Mark Girolami, Persi Diaconis +9
Contributed discussion and rejoinder to "Geodesic Monte Carlo on Embedded Manifolds" (arXiv:1301.6064)
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
Shiwei Lan, Bo Zhou, Babak Shahbaba
We propose a new Markov Chain Monte Carlo (MCMC) method for constrained target distributions. Our method first maps the -dimensional constrained domain of parameters to the unit…
A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons
Babak Shahbaba, Bo Zhou, Shiwei Lan +3
We propose a scalable semiparametric Bayesian model to capture dependencies among multiple neurons by detecting their co-firing (possibly with some lag time) patterns over time. Af…
Wormhole Hamiltonian Monte Carlo
Shiwei Lan, Jeffrey Streets, Babak Shahbaba
In machine learning and statistics, probabilistic inference involving multimodal distributions is quite difficult. This is especially true in high dimensional problems, where most…