ResearchTrend.AI
Restricted Spatial Regression Methods: Implications for Inference
v1v2v3 (latest)

Restricted Spatial Regression Methods: Implications for Inference

Kori Khan
Catherine A. Calder
ArXiv (abs)PDFHTML

Papers citing "Restricted Spatial Regression Methods: Implications for Inference"

6 / 6 papers shown
Title
Spatial confounding under infill asymptotics
Spatial confounding under infill asymptotics
David Bolin
J. Wallin
51
2
0
27 Mar 2024
SpaCE: The Spatial Confounding Environment
SpaCE: The Spatial Confounding Environment
Mauricio Tec
A. Trisovic
Michelle Audirac
Sophie Woodward
Jie Kate Hu
N. Khoshnevis
Francesca Dominici
CML
86
3
0
01 Dec 2023
Demystifying Spatial Confounding
Demystifying Spatial Confounding
Carlos Quintero-Peña
Isa Marques
Thomas Kneib
CML
25
4
0
28 Sep 2023
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
Bokgyeong Kang
John Hughes
M. Haran
25
1
0
27 Jan 2023
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
M. Tec
James G. Scott
Corwin M. Zigler
CML
54
12
0
25 Sep 2022
Spatial+: a novel approach to spatial confounding
Spatial+: a novel approach to spatial confounding
Emiko Dupont
S. Wood
N. Augustin
21
60
0
20 Sep 2020