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06/28/2023
On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2
The continuous-time Markov chain (CTMC) is the mathematical workhorse of...
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03/23/2023
Random-effects substitution models for phylogenetics via scalable gradient approximations
Phylogenetic and discrete-trait evolutionary inference depend heavily on...
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03/16/2023
A Spatially Varying Hierarchical Random Effects Model for Longitudinal Macular Structural Data in Glaucoma Patients
We model longitudinal macular thickness measurements to monitor the cour...
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09/10/2022
Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies
Parallel Markov Chain Monte Carlo (pMCMC) algorithms generate clouds of ...
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04/07/2022
Synthesizing longitudinal cortical thickness estimates with a flexible and hierarchical multivariate measurement-error model
MRI-based entorhinal cortical thickness (eCT) measurements predict cogni...
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01/18/2022
Hamiltonian zigzag accelerates large-scale inference for conditional dependencies between complex biological traits
Inferring dependencies between complex biological traits while accountin...
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12/01/2021
A quantum parallel Markov chain Monte Carlo
We propose a novel quantum computing strategy for parallel MCMC algorith...
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10/13/2021
Generating MCMC proposals by randomly rotating the regular simplex
We present the simplicial sampler, a class of parallel MCMC methods that...
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07/02/2021
Principled, practical, flexible, fast: a new approach to phylogenetic factor analysis
Biological phenotypes are products of complex evolutionary processes in ...
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03/03/2021
From viral evolution to spatial contagion: a biologically modulated Hawkes model
Mutations sometimes increase contagiousness for evolving pathogens. Duri...
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10/06/2020
Bayesian mitigation of spatial coarsening for a fairly flexible spatiotemporal Hawkes model
Self-exciting spatiotemporal Hawkes processes have found increasing use ...
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05/13/2020
