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Rishikesh Yadav
Rishikesh Yadav
Postdoc at HEC Montreal and McGill
在 hec.ca 的电子邮件经过验证
标题
引用次数
引用次数
年份
Spatial hierarchical modeling of threshold exceedances using rate mixtures
R Yadav, R Huser, T Opitz
Environmetrics 32 (3), e2662, 2021
232021
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
D Cisneros, Y Gong, R Yadav, A Hazra, R Huser
Extremes 26 (2), 301-330, 2023
222023
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
R Yadav, R Huser, T Opitz, L Lombardo
Journal of the Royal Statistical Society Series C: Applied Statistics 72 (5 …, 2023
152023
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data
R Yadav, R Huser, T Opitz
Spatial Statistics 51, 100672, 2022
72022
A utopic adventure in the modelling of conditional univariate and multivariate extremes: EVA (2023) Conference Data Challenge: Team Yahabe
LR Belzile, A Hazra, R Yadav
Extremes, 1-35, 2024
2024
Statistics of extremes for natural hazards: landslides and earthquakes
R Yadav, L Lombardo, R Huser
arXiv preprint arXiv:2404.09156, 2024
2024
Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study
A Hazra, P Nag, R Yadav, Y Sun
Journal of Agricultural, Biological and Environmental Statistics, 1-24, 2024
2024
An utopic adventure in the modelling of conditional univariate and multivariate extremes
LR Belzile, A Hazra, R Yadav
arXiv preprint arXiv:2312.13517, 2023
2023
Spatial Statistics
R Yadav, R Huser, T Opitz
2022
Bayesian Modeling of Sub-Asymptotic Spatial Extremes
R Yadav
2022
Data Challenge
D Vlah, T Ivek, J Koh, A Hazra, D Cisneros, R Yadav, Y Gong
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