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Andrew J. Holbrook
Andrew J. Holbrook
Associate 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
4282021
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
77*2019
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
432020
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
422020
BEAST X for Bayesian phylogenetic, phylogeographic and phylodynamic inference
G Baele, X Ji, GW Hassler, JT McCrone, Y Shao, Z Zhang, AJ Holbrook, ...
Nature Methods 22 (8), 1653-1656, 2025
412025
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
402021
Differentiating the pseudo determinant
A Holbrook
Linear Algebra and its Applications 548, 293-304, 2018
382018
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
382018
Neural network gradient hamiltonian monte carlo
L Li, A Holbrook, B Shahbaba, P Baldi
Computational statistics 34 (1), 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
262016
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
212022
Parallel MCMC algorithms: theoretical foundations, algorithm design, case studies
NE Glatt-Holtz, AJ Holbrook, JA Krometis, CF Mondaini
Transactions of Mathematics and Its Applications 8 (2), tnae004, 2024
192024
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
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), 4, 2021
172021
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
17*2020
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
15*2022
The ANTsX ecosystem for quantitative biological and medical imaging. Sci Rep 11: 9068
NJ Tustison, PA Cook, AJ Holbrook, HJ Johnson, J Muschelli, GA Devenyi, ...
152021
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
152019
From viral evolution to spatial contagion: a biologically modulated Hawkes model
AJ Holbrook, X Ji, MA Suchard
Bioinformatics 38 (7), 1846-1856, 2022
142022
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
132017
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Articles 1–20