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. 1507.04789
  4. Cited By
A multi-resolution approximation for massive spatial datasets

A multi-resolution approximation for massive spatial datasets

16 July 2015
Matthias Katzfuss
ArXivPDFHTML

Papers citing "A multi-resolution approximation for massive spatial datasets"

5 / 5 papers shown
Title
Logistic-beta processes for dependent random probabilities with beta marginals
Logistic-beta processes for dependent random probabilities with beta marginals
Changwoo J. Lee
Alessandro Zito
Huiyan Sang
David B. Dunson
30
0
0
10 Feb 2024
Parallel inference for massive distributed spatial data using low-rank
  models
Parallel inference for massive distributed spatial data using low-rank models
Matthias Katzfuss
D. Hammerling
90
34
0
06 Feb 2014
Bayesian Nonstationary Spatial Modeling for Very Large Datasets
Bayesian Nonstationary Spatial Modeling for Very Large Datasets
Matthias Katzfuss
92
77
0
10 Apr 2012
When does the screening effect hold?
When does the screening effect hold?
Michael L. Stein
86
41
0
08 Mar 2012
Bayesian treed Gaussian process models with an application to computer
  modeling
Bayesian treed Gaussian process models with an application to computer modeling
R. Gramacy
Herbert K. H. Lee
175
679
0
24 Oct 2007
1