Zobrazeno 1 - 10
of 1 069
pro vyhledávání: '"P Naveau"'
Publikováno v:
Environmental Research: Climate, Vol 3, Iss 4, p 045013 (2024)
A recurrent question in climate risk analysis is determining how climate change will affect heavy precipitation patterns. Dividing the globe into homogeneous sub-regions should improve the modeling of heavy precipitation by inferring common regional
Externí odkaz:
https://doaj.org/article/24e6ae31dd954150969865b289a22843
Accurate precipitation forecasts have a high socio-economic value due to their role in decision-making in various fields such as transport networks and farming. We propose a global statistical postprocessing method for grid-based precipitation ensemb
Externí odkaz:
http://arxiv.org/abs/2407.02125
Proper scoring rules are an essential tool to assess the predictive performance of probabilistic forecasts. However, propriety alone does not ensure an informative characterization of predictive performance and it is recommended to compare forecasts
Externí odkaz:
http://arxiv.org/abs/2407.00650
Causal asymmetry is based on the principle that an event is a cause only if its absence would not have been a cause. From there, uncovering causal effects becomes a matter of comparing a well-defined score in both directions. Motivated by studying ca
Externí odkaz:
http://arxiv.org/abs/2405.10371
Recent works have shown an interest in investigating the frequentist asymptotic properties of Bayesian procedures for high-dimensional linear models under sparsity constraints. However, there exists a gap in the literature regarding analogous theoret
Externí odkaz:
http://arxiv.org/abs/2405.01206
Generating accurate extremes from an observational data set is crucial when seeking to estimate risks associated with the occurrence of future extremes which could be larger than those already observed. Applications range from the occurrence of natur
Externí odkaz:
http://arxiv.org/abs/2306.10987
In extreme value theory and other related risk analysis fields, probability weighted moments (PWM) have been frequently used to estimate the parameters of classical extreme value distributions. This method-of-moment technique can be applied when seco
Externí odkaz:
http://arxiv.org/abs/2306.10806
The statistical modeling of discrete extremes has received less attention than their continuous counterparts in the Extreme Value Theory (EVT) literature. One approach to the transition from continuous to discrete extremes is the modeling of threshol
Externí odkaz:
http://arxiv.org/abs/2210.15253
Autor:
Villa, Nahuel A, Fernbach, Pierre, Naveau, Maximilien, Saurel, Guilhem, Dantec, Ewen, Mansard, Nicolas, Stasse, Olivier
When a big and heavy robot moves, it exerts large forces on the environment and on its own structure, its angular momentum can varysubstantially, and even the robot's structure can deform if there is a mechanical weakness. Under these conditions, sta
Externí odkaz:
http://arxiv.org/abs/2210.15205
Publikováno v:
Statistics and Computing, 2023, 34 (1), pp.53
High-dimensional variable selection, with many more covariates than observations, is widely documented in standard regression models, but there are still few tools to address it in non-linear mixed-effects models where data are collected repeatedly o
Externí odkaz:
http://arxiv.org/abs/2206.01012