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Integrated Nested Laplace Approximations (INLA)

Integrated Nested Laplace Approximations (INLA)

2 July 2019
S. Martino
A. Riebler
ArXivPDFHTML

Papers citing "Integrated Nested Laplace Approximations (INLA)"

14 / 14 papers shown
Title
Near-optimal Sensor Placement for Detecting Stochastic Target Trajectories in Barrier Coverage Systems
Near-optimal Sensor Placement for Detecting Stochastic Target Trajectories in Barrier Coverage Systems
Mingyu Kim
D. Stilwell
Harun Yetkin
Jorge G. Jimenez
12
1
0
01 May 2025
A Spatial-statistical model to analyse historical rutting data
A Spatial-statistical model to analyse historical rutting data
Natoya O.A.S. Jourdain
I. Steinsland
Mamoona Birkhez-Shami
Emil Vedvik
William Olsen
D. Gryteselv
Doreen Siebert
Alex Klein-Paste
26
0
0
08 Jan 2024
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Philipp Reiser
Javier Enrique Aguilar
A. Guthke
Paul-Christian Burkner
36
2
0
08 Dec 2023
Toward optimal placement of spatial sensors
Toward optimal placement of spatial sensors
Mingyu Kim
Harun Yetkin
D. Stilwell
Jorge G. Jimenez
Saurav Shrestha
N. Stark
11
2
0
10 Jul 2023
A scalable approach for short-term disease forecasting in high spatial
  resolution areal data
A scalable approach for short-term disease forecasting in high spatial resolution areal data
E. Orozco-Acosta
Andrea Riebler
A. Adin
M. D. Ugarte
13
1
0
29 Mar 2023
Computing Bayes: From Then 'Til Now'
Computing Bayes: From Then 'Til Now'
G. Martin
David T. Frazier
Christian P. Robert
20
15
0
01 Aug 2022
Approximating Bayes in the 21st Century
Approximating Bayes in the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
27
26
0
20 Dec 2021
Joint Posterior Inference for Latent Gaussian Models with R-INLA
Joint Posterior Inference for Latent Gaussian Models with R-INLA
Cristian Chiuchiolo
J. van Niekerk
H. Rue
BDL
27
8
0
06 Dec 2021
A Statistical Introduction to Template Model Builder: A Flexible Tool
  for Spatial Modeling
A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling
Aaron Osgood-Zimmerman
J. Wakefield
20
6
0
17 Mar 2021
Scalable Bayesian modeling for smoothing disease risks in large spatial
  data sets
Scalable Bayesian modeling for smoothing disease risks in large spatial data sets
E. Orozco-Acosta
A. Adin
M. D. Ugarte
16
2
0
15 Jul 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
40
17
0
14 Apr 2020
Missing data analysis and imputation via latent Gaussian Markov random
  fields
Missing data analysis and imputation via latent Gaussian Markov random fields
Virgilio Gómez-Rubio
M. Cameletti
M. Blangiardo
16
10
0
23 Dec 2019
Improving the INLA approach for approximate Bayesian inference for
  latent Gaussian models
Improving the INLA approach for approximate Bayesian inference for latent Gaussian models
Egil Ferkingstad
Håvard Rue
35
45
0
25 Mar 2015
Bayesian computing with INLA: new features
Bayesian computing with INLA: new features
Thiago G. Martins
Daniel P. Simpson
Till Mossakowski
H. Rue
BDL
117
556
0
01 Oct 2012
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