Ben Calderhead
Ben Calderhead
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TitoloCitata daAnno
Riemann manifold Langevin and Hamiltonian Monte Carlo methods
M Girolami, B Calderhead
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011
Estimating Bayes factors via thermodynamic integration and population MCMC
B Calderhead, M Girolami
Computational Statistics & Data Analysis 53 (12), 4028-4045, 2009
Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes
B Calderhead, M Girolami, ND Lawrence
Advances in neural information processing systems, 217-224, 2009
Bayesian solution uncertainty quantification for differential equations
OA Chkrebtii, DA Campbell, B Calderhead, MA Girolami
Bayesian Analysis 11 (4), 1239-1267, 2016
Discussion of "Bayesian Solution Uncertainty Quantification for Differential Equations"
OA Chkrebtii, DA Campbell, B Calderhead, MA Girolami
Bayesian Analysis, 2016
A general construction for parallelizing Metropolis-Hastings algorithms
B Calderhead
Proceedings of the National Academy of Sciences 111 (49), 17408-17413, 2014
Statistical analysis of nonlinear dynamical systems using differential geometric sampling methods
B Calderhead, M Girolami
Interface focus 1 (6), 821-835, 2011
Population MCMC methods for history matching and uncertainty quantification
L Mohamed, B Calderhead, M Filippone, M Christie, M Girolami
Computational Geosciences 16 (2), 423-436, 2012
Ten simple rules for effective computational research
JM Osborne, MO Bernabeu, M Bruna, B Calderhead, J Cooper, ...
PLoS Computational Biology 10 (3), e1003506, 2014
Ten simple rules for a successful cross-disciplinary collaboration
B Knapp, R Bardenet, MO Bernabeu, R Bordas, M Bruna, B Calderhead, ...
PLoS computational biology 11 (4), e1004214, 2015
Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems
A Kramer, B Calderhead, N Radde
BMC bioinformatics 15 (1), 253, 2014
Probabilistic linear multistep methods
O Teymur, K Zygalakis, B Calderhead
Advances in Neural Information Processing Systems, 4321-4328, 2016
Cutting Edge: Science hackathons for developing interdisciplinary research and collaborations
D Groen, B Calderhead
Elife 4, e09944, 2015
Changing how earth system modeling is done to provide more useful information for decision making, science, and society
MJ Smith, PI Palmer, DW Purves, MC Vanderwel, V Lyutsarev, ...
Bulletin of the American Meteorological Society 95 (9), 1453-1464, 2014
Differential geometric MCMC methods and applications
B Calderhead
University of Glasgow, 2011
Bayesian statistical inference in ion-channel models with exact missed event correction
M Epstein, B Calderhead, MA Girolami, LG Sivilotti
Biophysical journal 111 (2), 333-348, 2016
On the initial configurations of collapsible channel flow
X Luo, B Calderhead, H Liu, W Li
Computers & structures 85 (11-14), 977-987, 2007
Sparse approximate manifolds for differential geometric MCMC
B Calderhead, MA Sustik
Advances in neural information processing systems, 2879-2887, 2012
Is it safe to go out yet? Statistical inference in a zombie outbreak model
B Calderhead, M Girolami, DJ Higham
Bayesian approaches for mechanistic ion channel modeling
B Calderhead, M Epstein, L Sivilotti, M Girolami
In silico systems biology, 247-272, 2013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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