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Non-Gaussian Geostatistical Modeling using (skew) t Processes
v1v2v3 (latest)

Non-Gaussian Geostatistical Modeling using (skew) t Processes

15 December 2018
M. Bevilacqua
Christian Caamaño-Carrillo
R. Arellano-Valle
Víctor Morales-Oñate
ArXiv (abs)PDFHTML

Papers citing "Non-Gaussian Geostatistical Modeling using (skew) t Processes"

3 / 3 papers shown
Title
A Generalized Unified Skew-Normal Process with Neural Bayes Inference
A Generalized Unified Skew-Normal Process with Neural Bayes Inference
Kesen Wang
M. Genton
SyDa
460
0
0
26 Nov 2024
The Matérn Model: A Journey through Statistics, Numerical Analysis and
  Machine Learning
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning
Emilio Porcu
M. Bevilacqua
R. Schaback
Chris J. Oates
63
16
0
05 Mar 2023
Objective Bayesian analysis for spatial Student-t regression models
Objective Bayesian analysis for spatial Student-t regression models
J. A. Ordoñez
M. Prates
L. A. Matos
V. H. Lachos
11
1
0
09 Apr 2020
1