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

30 November 2010

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 Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 78 7 0 20 May 2020
Reduced-dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models Jaewoo Park M. Haran 15 7 0 22 Oct 2019
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 Kori Khan Catherine A. Calder 39 50 0 22 May 2019
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 J. Johndrow Jonathan C. Mattingly Sayan Mukherjee David B. Dunson 98 31 0 13 Aug 2015