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Some New Random Field Tools for Spatial Analysis

Some New Random Field Tools for Spatial Analysis

7 May 2008
R. Adler
ArXiv (abs)PDFHTML

Papers citing "Some New Random Field Tools for Spatial Analysis"

4 / 4 papers shown
Title
Topology-Driven Goodness-of-Fit Tests in Arbitrary Dimensions
Topology-Driven Goodness-of-Fit Tests in Arbitrary DimensionsStatistics and computing (Stat. Comput.), 2022
Paweł Dłotko
Niklas Hellmer
Lukasz Stettner
R. Topolnicki
271
5
0
25 Oct 2022
Bayesian model calibration for block copolymer self-assembly:
  Likelihood-free inference and expected information gain computation via
  measure transport
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transportJournal of Computational Physics (JCP), 2022
Ricardo Baptista
Lianghao Cao
Joshua Chen
Omar Ghattas
Fengyi Li
Youssef M. Marzouk
J. Oden
143
14
0
22 Jun 2022
Robust physics discovery via supervised and unsupervised pattern
  recognition using the Euler characteristic
Robust physics discovery via supervised and unsupervised pattern recognition using the Euler characteristic
Zhiming Zhang
Yongming Liu
86
3
0
15 Oct 2021
On approximation theorems for the Euler characteristic with applications
  to the bootstrap
On approximation theorems for the Euler characteristic with applications to the bootstrap
Johannes T. N. Krebs
Benjamin Roycraft
W. Polonik
216
8
0
15 May 2020
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