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Spherical Poisson Point Process Intensity Function Modeling and
  Estimation with Measure Transport

Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport

24 January 2022
T. L. J. Ng
A. Zammit‐Mangion
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Papers citing "Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport"

2 / 2 papers shown
Title
Statistical Deep Learning for Spatial and Spatio-Temporal Data
Statistical Deep Learning for Spatial and Spatio-Temporal Data
C. Wikle
A. Zammit‐Mangion
BDL
19
45
0
05 Jun 2022
Scalable Bayesian transport maps for high-dimensional non-Gaussian
  spatial fields
Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields
Matthias Katzfuss
Florian Schafer
OT
32
14
0
09 Aug 2021
1