ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.07828
  4. Cited By
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

18 June 2019
Daniel Zilber
Matthias Katzfuss
ArXivPDFHTML

Papers citing "Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data"

3 / 3 papers shown
Title
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
Anirban Chakraborty
Matthias Katzfuss
OT
26
1
0
28 Sep 2024
Scalable Spatio-Temporal Smoothing via Hierarchical Sparse Cholesky
  Decomposition
Scalable Spatio-Temporal Smoothing via Hierarchical Sparse Cholesky Decomposition
M. Jurek
Matthias Katzfuss
14
9
0
19 Jul 2022
Scaled Vecchia approximation for fast computer-model emulation
Scaled Vecchia approximation for fast computer-model emulation
Matthias Katzfuss
J. Guinness
E. Lawrence
14
40
0
01 May 2020
1