Dave Higdon
Dave Higdon
Social Decision & Analytics Laboratory, Virginia Tech University
Verified email at vt.edu - Homepage
Cited by
Cited by
Bayesian computation and stochastic systems
J Besag, P Green, D Higdon, K Mengersen
Statistical science, 3-41, 1995
Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling
JA Vrugt, JM Hyman, BA Robinson, D Higdon, CJF Ter Braak, CGH Diks
International Journal of Nonlinear Sciences and Numerical Simulation, 2008
Computer model calibration using high-dimensional output
D Higdon, J Gattiker, B Williams, M Rightley
Journal of the American Statistical Association 103 (482), 570-583, 2008
Combining field data and computer simulations for calibration and prediction
D Higdon, M Kennedy, JC Cavendish, JA Cafeo, RD Ryne
SIAM Journal on Scientific Computing 26 (2), 448-466, 2004
Space and space-time modeling using process convolutions
D Higdon
Quantitative methods for current environmental issues, 37-56, 2002
Non-stationary spatial modeling
D Higdon, J Swall, J Kern
Bayesian statistics 6 (1), 761-768, 1999
A process-convolution approach to modelling temperatures in the North Atlantic Ocean
D Higdon
Environmental and Ecological Statistics 5 (2), 173-190, 1998
The coyote universe. I. Precision determination of the nonlinear matter power spectrum
K Heitmann, M White, C Wagner, S Habib, D Higdon
The Astrophysical Journal 715 (1), 104, 2010
Auxiliary variable methods for Markov chain Monte Carlo with applications
DM Higdon
Journal of the American statistical Association 93 (442), 585-595, 1998
Bayesian analysis of agricultural field experiments
J Besag, D Higdon
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1999
The coyote universe. III. Simulation suite and precision emulator for the nonlinear matter power spectrum
E Lawrence, K Heitmann, M White, D Higdon, C Wagner, S Habib, ...
The Astrophysical Journal 713 (2), 1322, 2010
Primate species richness is determined by plant productivity: implications for conservation
RF Kay, RH Madden, C Van Schaik, D Higdon
Proceedings of the National Academy of Sciences 94 (24), 13023-13027, 1997
The coyote universe extended: precision emulation of the matter power spectrum
K Heitmann, E Lawrence, J Kwan, S Habib, D Higdon
The Astrophysical Journal 780 (1), 111, 2013
A Bayesian hierarchical model to predict benthic oxygen demand from organic matter loading in estuaries and coastal zones
ME Borsuk, D Higdon, CA Stow, KH Reckhow
Ecological Modelling 143 (3), 165-181, 2001
Variable selection for Gaussian process models in computer experiments
C Linkletter, D Bingham, N Hengartner, D Higdon, KQ Ye
Technometrics 48 (4), 478-490, 2006
Nonparametric dark energy reconstruction from supernova data
T Holsclaw, U Alam, B Sanso, H Lee, K Heitmann, S Habib, D Higdon
Physical Review Letters 105 (24), 241302, 2010
Nonlinear and nonequilibrium dynamics in geomaterials
JA TenCate, D Pasqualini, S Habib, K Heitmann, D Higdon, PA Johnson
Physical review letters 93 (6), 065501, 2004
A Bayesian calibration approach to the thermal problem
D Higdon, C Nakhleh, J Gattiker, B Williams
Computer Methods in Applied Mechanics and Engineering 197 (29-32), 2431-2441, 2008
Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data
DM Higdon, JE Bowsher, VE Johnson, TG Turkington, DR Gilland, ...
IEEE Transactions on Medical Imaging 16 (5), 516-526, 1997
Cosmic calibration: Constraints from the matter power spectrum and the cosmic microwave background
S Habib, K Heitmann, D Higdon, C Nakhleh, B Williams
Physical Review D 76 (8), 083503, 2007
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