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Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models

Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models

John Hughes
M. Haran
ArXiv (abs)PDFHTML

Papers citing "Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models"

6 / 6 papers shown
Title
Additive stacking for disaggregate electricity demand forecasting
Additive stacking for disaggregate electricity demand forecasting
Christian Capezza
B. Palumbo
Y. Goude
S. Wood
Matteo Fasiolo
AI4TS
71
7
0
20 May 2020
Reduced-dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models
Reduced-dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models
Jaewoo Park
M. Haran
13
7
0
22 Oct 2019
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data
Daniel Zilber
Matthias Katzfuss
84
34
0
18 Jun 2019
Restricted Spatial Regression Methods: Implications for Inference
Restricted Spatial Regression Methods: Implications for Inference
Kori Khan
Catherine A. Calder
37
50
0
22 May 2019
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding
Muhammad Osama
Dave Zachariah
Thomas B. Schon
33
8
0
28 Jan 2019
Optimal approximating Markov chains for Bayesian inference
Optimal approximating Markov chains for Bayesian inference
J. Johndrow
Jonathan C. Mattingly
Sayan Mukherjee
David B. Dunson
98
31
0
13 Aug 2015