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On the surprising effectiveness of a simple matrix exponential
  derivative approximation, with application to global SARS-CoV-2
v1v2 (latest)

On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2

28 June 2023
G. Didier
N. Glatt-Holtz
Andrew J Holbrook
Andrew F. Magee
M. Suchard
ArXiv (abs)PDFHTML

Papers citing "On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2"

4 / 4 papers shown
Title
Random-effects substitution models for phylogenetics via scalable
  gradient approximations
Random-effects substitution models for phylogenetics via scalable gradient approximations
Andrew F. Magee
Andrew J Holbrook
J. Pekar
Itzue W. Caviedes-Solis
IV FredrickA.Matsen
G. Baele
J. Wertheim
Xiang Ji
P. Lemey
M. Suchard
31
5
0
23 Mar 2023
Gradients do grow on trees: a linear-time ${\cal O}\hspace{-0.2em}\left(
  N \right)$-dimensional gradient for statistical phylogenetics
Gradients do grow on trees: a linear-time O(N){\cal O}\hspace{-0.2em}\left( N \right)O(N)-dimensional gradient for statistical phylogenetics
X. Ji
Zhenyu Zhang
Andrew J Holbrook
A. Nishimura
G. Baele
A. Rambaut
P. Lemey
M. Suchard
24
31
0
29 May 2019
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for
  Bayesian Inverse Problems
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems
Shiwei Lan
T. Bui-Thanh
M. Christie
Mark Girolami
82
58
0
22 Jul 2015
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on
  Regularity in Parameter Space
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space
Cheng Zhang
Babak Shahbaba
Hongkai Zhao
46
15
0
06 Apr 2015
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