E-LIB Suche - Ergebnisse für: Katzfuss, Matthias

1

Functional analysis of variance (ANOVA) for carbon flux est..:

Hobbs, Jonathan ; Katzfuss, Matthias ; Nguyen, Hai..
Geoscientific Model Development. 17 (2024) 3 - p. 1133-1151 , 2024

2

Locally Anisotropic Nonstationary Covariance Functions on t..:

Cao, Jian ; ZHANG, Jingjie ; SUN, Zhuoer.
Journal of Agricultural, Biological and Environmental Statistics. 29 (2023) 2 - p. 212-231 , 2023

Link: https://doi.org/10.1007/..

3

Scalable Bayesian Transport Maps for High-Dimensional Non-G..:

Katzfuss, Matthias ; Schäfer, Florian
Journal of the American Statistical Association. 119 (2023) 546 - p. 1409-1423 , 2023

Link: https://doi.org/10.1080/..

4

Bayesian Nonparametric Generative Modeling of Large Multiva..:

Wiemann, Paul F. V. ; Katzfuss, Matthias
Journal of Agricultural, Biological and Environmental Statistics. 28 (2023) 4 - p. 597-617 , 2023

Link: https://doi.org/10.1007/..

5

Correlation-based sparse inverse Cholesky factorization for..:

Kang, Myeongjong ; Katzfuss, Matthias
Statistics and Computing. 33 (2023) 3 - p. , 2023

Link: https://doi.org/10.1007/..

6

Phenomic data-driven biological prediction of maize through..:

Adak, Alper ; Kang, Myeongjong ; Anderson, Steven L...
Journal of Experimental Botany. 74 (2023) 17 - p. 5307-5326 , 2023

Link: https://doi.org/10.1093/..

7

Spatial Surface Reflectance Retrievals for Visible/Shortwav..:

Zilber, Daniel ; Thompson, David R. ; Katzfuss, Matthias...
Remote Sensing. 14 (2022) 9 - p. 2183 , 2022

Link: https://doi.org/10.3390/..

8

Scaled Vecchia Approximation for Fast Computer-Model Emulat..:

Katzfuss, Matthias ; Guinness, Joseph ; Lawrence, Earl
SIAM/ASA Journal on Uncertainty Quantification. 10 (2022) 2 - p. 537-554 , 2022

Link: https://doi.org/10.1137/..

9

High-Dimensional Nonlinear Spatio-Temporal Filtering by Com..:

Chakraborty, Anirban ; Katzfuss, Matthias
Journal of Data Science. , 2022

Link: https://doi.org/10.6339/..

10

Multi-Scale Vecchia Approximations of Gaussian Processes:

Zhang, Jingjie ; Katzfuss, Matthias
Journal of Agricultural, Biological and Environmental Statistics. 27 (2022) 3 - p. 440-460 , 2022

Link: https://doi.org/10.1007/..

11

Hierarchical sparse Cholesky decomposition with application..:

Jurek, Marcin ; Katzfuss, Matthias
Statistics and Computing. 32 (2022) 1 - p. , 2022

Link: https://doi.org/10.1007/..

12

Scalable spatio‐temporal smoothing via hierarchical sparse ..:

Jurek, Marcin ; Katzfuss, Matthias
Environmetrics. 34 (2022) 1 - p. , 2022

Link: https://doi.org/10.1002/..

13

Ordered conditional approximation of Potts models:

Chakraborty, Anirban ; Katzfuss, Matthias ; Guinness, Joseph
Spatial Statistics. 52 (2022) - p. 100708 , 2022

Link: https://doi.org/10.1016/..

14

Sparse Cholesky Factorization by Kullback--Leibler Minimiza..:

Schäfer, Florian ; Katzfuss, Matthias ; Owhadi, Houman
SIAM Journal on Scientific Computing. 43 (2021) 3 - p. A2019-A2046 , 2021

Link: https://doi.org/10.1137/..

15

Vecchia–Laplace approximations of generalized Gaussian proc..:

Zilber, Daniel ; Katzfuss, Matthias
Computational Statistics & Data Analysis. 153 (2021) - p. 107081 , 2021

Link: https://doi.org/10.1016/..