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Andrew J. Holbrook
Andrew J. Holbrook
Assistant Professor of Biostatistics, UCLA
Verified email at g.ucla.edu - Homepage
Title
Cited by
Cited by
Year
The ANTsX ecosystem for quantitative biological and medical imaging
NJ Tustison, PA Cook, AJ Holbrook, HJ Johnson, J Muschelli, GA Devenyi, ...
Scientific reports 11 (1), 9068, 2021
1782021
Longitudinal mapping of cortical thickness measurements: An Alzheimer’s Disease Neuroimaging Initiative-based evaluation study
NJ Tustison, AJ Holbrook, BB Avants, JM Roberts, PA Cook, ZM Reagh, ...
Journal of Alzheimer's Disease 71 (1), 165-183, 2019
642019
Gradients do grow on trees: a linear-time 𝒪 (N)-dimensional gradient for statistical phylogenetics
X Ji, Z Zhang, A Holbrook, A Nishimura, G Baele, A Rambaut, P Lemey, ...
Molecular Biology and Evolution, 2020
362020
Anterolateral entorhinal cortex thickness as a new biomarker for early detection of Alzheimer's disease
AJ Holbrook, NJ Tustison, F Marquez, J Roberts, MA Yassa, DL Gillen, ...
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 12 (1 …, 2020
362020
Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation
A Holbrook, S Lan, A Vandenberg-Rodes, B Shahbaba
Journal of statistical computation and simulation 88 (5), 982-1002, 2018
362018
Differentiating the pseudo determinant
A Holbrook
Linear Algebra and its Applications 548, 293-304, 2018
332018
Massive parallelization boosts big Bayesian multidimensional scaling
AJ Holbrook, P Lemey, G Baele, S Dellicour, D Brockmann, A Rambaut, ...
Journal of Computational and Graphical Statistics 30 (1), 11-24, 2021
322021
Neural network gradient hamiltonian monte carlo
L Li, A Holbrook, B Shahbaba, P Baldi
Computational statistics 34, 281-299, 2019
302019
Bayesian inference on matrix manifolds for linear dimensionality reduction
A Holbrook, A Vandenberg-Rodes, B Shahbaba
arXiv preprint arXiv:1606.04478, 2016
242016
A Bayesian supervised dual‐dimensionality reduction model for simultaneous decoding of LFP and spike train signals
A Holbrook, A Vandenberg‐Rodes, N Fortin, B Shahbaba
Stat 6 (1), 53-67, 2017
192017
Principled, practical, flexible, fast: A new approach to phylogenetic factor analysis
GW Hassler, B Gallone, L Aristide, WL Allen, MR Tolkoff, AJ Holbrook, ...
Methods in Ecology and Evolution 13 (10), 2181-2197, 2022
172022
Nonparametric fisher geometry with application to density estimation
A Holbrook, S Lan, J Streets, B Shahbaba
Conference on Uncertainty in Artificial Intelligence, 101-110, 2020
15*2020
From viral evolution to spatial contagion: a biologically modulated Hawkes model
AJ Holbrook, X Ji, MA Suchard
Bioinformatics 38 (7), 1846-1856, 2022
132022
Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data
AJ Holbrook, CE Loeffler, SR Flaxman, MA Suchard
Statistics and computing 31, 1-15, 2021
122021
Attitudes toward potential participant registries
JD Grill, A Holbrook, A Pierce, D Hoang, DL Gillen
Journal of Alzheimer's Disease 56 (3), 939-946, 2017
122017
Parallel MCMC algorithms: Theoretical foundations, algorithm design, case studies
NE Glatt-Holtz, AJ Holbrook, JA Krometis, CF Mondaini
arXiv preprint arXiv:2209.04750, 2022
112022
Bayesian mitigation of spatial coarsening for a Hawkes model applied to gunfire, wildfire and viral contagion
AJ Holbrook, X Ji, MA Suchard
The annals of applied statistics 16 (1), 573, 2022
11*2022
Flexible Bayesian dynamic modeling of correlation and covariance matrices
S Lan, A Holbrook, GA Elias, NJ Fortin, H Ombao, B Shahbaba
Bayesian analysis 15 (4), 1199, 2019
102019
A quantum parallel Markov chain Monte Carlo
AJ Holbrook
Journal of Computational and Graphical Statistics 32 (4), 1402-1415, 2023
92023
Accelerating Bayesian inference of dependency between mixed-type biological traits
Z Zhang, A Nishimura, NS Trovão, JL Cherry, AJ Holbrook, X Ji, P Lemey, ...
PLoS computational biology 19 (8), e1011419, 2023
7*2023
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