E-LIB Suche - Ergebnisse für: Huser, Raphaël

1

Modeling of spatial extremes in environmental data science:..:

Huser, Raphaël ; Opitz, Thomas ; Wadsworth, Jennifer
http://arxiv.org/abs/2401.17430. , 2024

Link: http://arxiv.org/abs/240..

2

Partial Tail-Correlation Coefficient Applied to Extremal-Ne..:

Gong, Yan ; Zhong, Peng ; Opitz, Thomas.
https://www.tandfonline.com/doi/full/10.1080/00401706.2024.2304334. , 2024

Link: http://hdl.handle.net/10..

3

At the junction between deep learning and statistics of ext..:

Dahal, Ashok ; Huser, Raphaël ; Lombardo, Luigi
http://arxiv.org/abs/2401.14210. , 2024

Link: http://arxiv.org/abs/240..

4

Spatial wildfire risk modeling using mixtures of tree-based..:

Cisneros, Daniela ; Hazra, Arnab ; Huser, Raphaël
http://arxiv.org/abs/2308.03870. , 2023

Link: http://arxiv.org/abs/230..

5

Measuring Information Transfer Between Nodes in a Brain Net..:

Redondo, Paolo Victor ; Huser, Raphael ; Ombao, Hernando
http://arxiv.org/abs/2303.06384. , 2023

Link: http://arxiv.org/abs/230..

6

A Neural Network-Based Approach to Normality Testing for De..:

Kim, Minwoo ; Genton, Marc G ; Huser, Raphael.
http://arxiv.org/abs/2310.10422. , 2023

Link: http://arxiv.org/abs/231..

7

Extremal Dependence of Moving Average Processes Driven by E..:

Zhang, Zhongwei ; Bolin, David ; Engelke, Sebastian.
http://arxiv.org/abs/2307.15796. , 2023

Link: http://arxiv.org/abs/230..

8

Dynamic rainfall-induced landslide susceptibility: A step t..:

Ahmed, Mahnoor ; Tanyas, Hakan ; Huser, Raphaël...
https://linkinghub.elsevier.com/retrieve/pii/S156984322300417X. , 2023

Link: http://hdl.handle.net/10..

9

Fast spatial simulation of extreme high-resolution radar pr..:

Vandeskog, Silius M ; Martino, Sara ; Huser, Raphaël
http://arxiv.org/abs/2307.11390. , 2023

Link: http://arxiv.org/abs/230..

10

Max-convolution processes with random shape indicator kerne..:

Krupskii, Pavel ; Huser, Raphaël
http://arxiv.org/abs/2310.10588. , 2023

Link: http://arxiv.org/abs/231..

11

Neural Bayes Estimators for Irregular Spatial Data using Gr..:

Sainsbury-Dale, Matthew ; Richards, Jordan ; Zammit-Mangion, Andrew.
http://arxiv.org/abs/2310.02600. , 2023

Link: http://arxiv.org/abs/231..

12

From ground motion simulations to landslide occurrence pred..:

Dahal, Ashok ; Castro Cruz, David ; Tanyaş, Hakan...
https://linkinghub.elsevier.com/retrieve/pii/S0169555X23003185. , 2023

Link: http://hdl.handle.net/10..

13

Flexible and efficient spatial extremes emulation via varia..:

Zhang, Likun ; Ma, Xiaoyu ; Wikle, Christopher K.
http://arxiv.org/abs/2307.08079. , 2023

Link: http://arxiv.org/abs/230..

14

Joint modelling of landslide counts and sizes using spatial..:

Yadav, Rishikesh ; Huser, Raphaël ; Opitz, Thomas.
https://academic.oup.com/jrsssc/advance-article/doi/10.1093/jrsssc/qlad077/7272776. , 2023

Link: http://hdl.handle.net/10..

15

Neural Bayes estimators for censored inference with peaks-o..:

Richards, Jordan ; Sainsbury-Dale, Matthew ; Zammit-Mangion, Andrew.
http://arxiv.org/abs/2306.15642. , 2023

Link: http://arxiv.org/abs/230..