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Hyperpriors for Matérn fields with applications in Bayesian inversion

Hyperpriors for Matérn fields with applications in Bayesian inversion

9 December 2016
L. Roininen
Mark Girolami
Sari Lasanen
M. Markkanen
ArXivPDFHTML

Papers citing "Hyperpriors for Matérn fields with applications in Bayesian inversion"

13 / 13 papers shown
Title
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes
Simon Urbainczyk
Aretha L. Teckentrup
Jonas Latz
GP
17
0
0
16 May 2025
Sparsity promoting reconstructions via hierarchical prior models in
  diffuse optical tomography
Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography
Anssi Manninen
Meghdoot Mozumder
T. Tarvainen
A. Hauptmann
18
1
0
18 Aug 2022
Hierarchical Non-Stationary Temporal Gaussian Processes With
  $L^1$-Regularization
Hierarchical Non-Stationary Temporal Gaussian Processes With L1L^1L1-Regularization
Zheng Zhao
Rui Gao
Simo Särkkä
20
0
0
20 May 2021
Deep State-Space Gaussian Processes
Deep State-Space Gaussian Processes
Zheng Zhao
M. Emzir
Simo Särkkä
GP
43
19
0
11 Aug 2020
Blind hierarchical deconvolution
Blind hierarchical deconvolution
Arttu Arjas
L. Roininen
M. Sillanpää
A. Hauptmann
18
4
0
22 Jul 2020
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
M. Emzir
Sari Lasanen
Z. Purisha
L. Roininen
Simo Särkkä
30
9
0
28 Jun 2020
Deep Gaussian Markov Random Fields
Deep Gaussian Markov Random Fields
Per Sidén
Fredrik Lindsten
BDL
28
22
0
18 Feb 2020
Semivariogram methods for modeling Whittle-Matérn priors in Bayesian
  inverse problems
Semivariogram methods for modeling Whittle-Matérn priors in Bayesian inverse problems
Richard D. Brown
Johnathan M. Bardsley
Tiangang Cui
16
7
0
23 Nov 2018
Fast sampling of parameterised Gaussian random fields
Fast sampling of parameterised Gaussian random fields
J. Latz
Marvin Eisenberger
E. Ullmann
17
20
0
30 Apr 2018
Posterior Inference for Sparse Hierarchical Non-stationary Models
Posterior Inference for Sparse Hierarchical Non-stationary Models
K. Monterrubio-Gómez
L. Roininen
S. Wade
Theo Damoulas
Mark Girolami
37
27
0
04 Apr 2018
Dimension-Robust MCMC in Bayesian Inverse Problems
Dimension-Robust MCMC in Bayesian Inverse Problems
Victor Chen
Matthew M. Dunlop
O. Papaspiliopoulos
Andrew M. Stuart
35
36
0
09 Mar 2018
Practical heteroskedastic Gaussian process modeling for large simulation
  experiments
Practical heteroskedastic Gaussian process modeling for large simulation experiments
M. Binois
R. Gramacy
M. Ludkovski
35
181
0
17 Nov 2016
Cauchy difference priors for edge-preserving Bayesian inversion with an
  application to X-ray tomography
Cauchy difference priors for edge-preserving Bayesian inversion with an application to X-ray tomography
M. Markkanen
L. Roininen
Janne M. J. Huttunen
Sari Lasanen
44
32
0
19 Mar 2016
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