Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Holbrook, Andrew J."'
Hawkes stochastic point process models have emerged as valuable statistical tools for analyzing viral contagion. The spatiotemporal Hawkes process characterizes the speeds at which viruses spread within human populations. Unfortunately, likelihood-ba
Externí odkaz:
http://arxiv.org/abs/2407.11349
Bayesian multidimensional scaling (BMDS) is a probabilistic dimension reduction tool that allows one to model and visualize data consisting of dissimilarities between pairs of objects. Although BMDS has proven useful within, e.g., Bayesian phylogenet
Externí odkaz:
http://arxiv.org/abs/2406.15573
Autor:
Lin, Chin-Yi, Chen, Kuo-Chin, Lemey, Philippe, Suchard, Marc A., Holbrook, Andrew J., Hsieh, Min-Hsiu
Multiproposal Markov chain Monte Carlo (MCMC) algorithms choose from multiple proposals at each iteration in order to sample from challenging target distributions more efficiently. Recent work demonstrates the possibility of quadratic quantum speedup
Externí odkaz:
http://arxiv.org/abs/2312.01402
Autor:
Didier, Gustavo, Glatt-Holtz, Nathan E., Holbrook, Andrew J., Magee, Andrew F., Suchard, Marc A.
The continuous-time Markov chain (CTMC) is the mathematical workhorse of evolutionary biology. Learning CTMC model parameters using modern, gradient-based methods requires the derivative of the matrix exponential evaluated at the CTMC's infinitesimal
Externí odkaz:
http://arxiv.org/abs/2306.15841
Autor:
Magee, Andrew F., Holbrook, Andrew J., Pekar, Jonathan E., Caviedes-Solis, Itzue W., Matsen IV, Fredrick A., Baele, Guy, Wertheim, Joel O., Ji, Xiang, Lemey, Philippe, Suchard, Marc A.
Phylogenetic and discrete-trait evolutionary inference depend heavily on an appropriate characterization of the underlying character substitution process. In this paper, we present random-effects substitution models that extend common continuous-time
Externí odkaz:
http://arxiv.org/abs/2303.13642
We model longitudinal macular thickness measurements to monitor the course of glaucoma and prevent vision loss due to disease progression. The macular thickness varies over a 6$\times$6 grid of locations on the retina with additional variability aris
Externí odkaz:
http://arxiv.org/abs/2303.09018
Parallel Markov Chain Monte Carlo (pMCMC) algorithms generate clouds of proposals at each step to efficiently resolve a target probability distribution. We build a rigorous foundational framework for pMCMC algorithms that situates these methods withi
Externí odkaz:
http://arxiv.org/abs/2209.04750
Data science has arrived, and computational statistics is its engine. As the scale and complexity of scientific and industrial data grow, the discipline of computational statistics assumes an increasingly central role among the statistical sciences.
Externí odkaz:
http://arxiv.org/abs/2204.05530
MRI-based entorhinal cortical thickness (eCT) measurements predict cognitive decline in Alzheimer's disease (AD) with low cost and minimal invasiveness. Two prominent imaging paradigms, FreeSurfer (FS) and Advanced Normalization Tools (ANTs), feature
Externí odkaz:
http://arxiv.org/abs/2204.03576
Autor:
Zhang, Zhenyu, Nishimura, Akihiko, Trovão, Nídia S., Cherry, Joshua L., Holbrook, Andrew J., Ji, Xiang, Lemey, Philippe, Suchard, Marc A.
Inferring dependencies between complex biological traits while accounting for evolutionary relationships between specimens is of great scientific interest yet remains infeasible when trait and specimen counts grow large. The state-of-the-art approach
Externí odkaz:
http://arxiv.org/abs/2201.07291