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JMLR Workshop and Conference Proceedings|April 28, 2015
Spherical Hamiltonian Monte Carlo for Constrained Target DistributionsShiwei Lan, Bo Zhou, Babak ShahbabaNeural Computation|June 13, 2014
A semiparametric Bayesian model for detecting synchrony among multiple neuronsBabak Shahbaba, Bo Zhou, Shiwei Lan, et al.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|April 11, 2015
Wormhole Hamiltonian Monte CarloShiwei Lan, Jeffrey Streets, Babak ShahbabaJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|August 5, 2015
Markov Chain Monte Carlo from Lagrangian DynamicsShiwei Lan, Vasileios Stathopoulos, Babak Shahbaba, et al.Transactions on Machine Learning Research|June 30, 2026
Scaling Up Bayesian Neural Networks with Neural NetworksZahra Moslemi, Yang Meng, Shiwei Lan, et al.Journal of Statistical Computation and Simulation|May 21, 2019
Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimationAndrew Holbrook, Shiwei Lan, Alexander Vandenberg-Rodes, et al.Bioinformatics (Oxford, England)|June 21, 2015
An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamicsShiwei Lan, Julia A Palacios, Michael Karcher, et al.Bayesian Analysis|April 19, 2021
Flexible Bayesian Dynamic Modeling of Correlation and Covariance MatricesShiwei Lan, Andrew Holbrook, Gabriel A Elias, et al.Journal of the American Statistical Association|December 20, 2016
A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-MakingBo Zhou, David E Moorman, Sam Behseta, et al.Pageof 304