Multi-resolution filters for massive spatio-temporal data

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Multi-resolution filters for massive spatio-temporal data

9 October 2018

Matthias Katzfuss

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Papers citing "Multi-resolution filters for massive spatio-temporal data"

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Title
Multi-resolution filters via linear projection for large spatio-temporal datasets Toshihiro Hirano Tsunehiro Ishihara 41 0 0 10 Jan 2024
Scalable Spatio-Temporal Smoothing via Hierarchical Sparse Cholesky Decomposition M. Jurek Matthias Katzfuss 53 9 0 19 Jul 2022
D-STEM v2: A Software for Modelling Functional Spatio-Temporal Data Yaqiong Wang F. Finazzi A. Fassò 13 6 0 27 Jan 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks Shiwei Lan Shuyi Li Babak Shahbaba UQCV BDL 86 16 0 11 Jan 2021
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering M. Jurek Matthias Katzfuss 58 20 0 30 Jun 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 85 7 0 20 May 2020
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data Daniel Zilber Matthias Katzfuss 84 34 0 18 Jun 2019
Spatio-Temporal Data Fusion for Massive Sea Surface Temperature Data from MODIS and AMSR-E Instruments P. Ma E. Kang 35 19 0 12 Sep 2018
Vecchia approximations of Gaussian-process predictions Matthias Katzfuss J. Guinness Wenlong Gong Daniel Zilber 104 93 0 08 May 2018
A general framework for Vecchia approximations of Gaussian processes Matthias Katzfuss J. Guinness 95 262 0 21 Aug 2017