受强制性开放获取政策约束的文章 - Marco Oesting了解详情
无法在其他位置公开访问的文章：1 篇
Statistical inference for max-stable processes by conditioning on extreme events
S Engelke, A Malinowski, M Oesting, M Schlather
Advances in Applied Probability 46 (2), 478-495, 2014
强制性开放获取政策： Swiss National Science Foundation, German Research Foundation
可在其他位置公开访问的文章：16 篇
Analysis, simulation and prediction of multivariate random fields with package RandomFields
M Schlather, A Malinowski, PJ Menck, M Oesting, K Strokorb
Journal of Statistical Software 63 (8), 2015
强制性开放获取政策： German Research Foundation, Volkswagen Foundation
Exact simulation of max-stable processes
C Dombry, S Engelke, M Oesting
Biometrika 103 (2), 303-317, 2016
强制性开放获取政策： Swiss National Science Foundation
Simulation of Brown–Resnick processes
M Oesting, Z Kabluchko, M Schlather
Extremes 15 (1), 89-107, 2012
强制性开放获取政策： German Research Foundation
Statistical post-processing of forecasts for extremes using bivariate brown-resnick processes with an application to wind gusts
M Oesting, M Schlather, P Friederichs
Extremes 20 (2), 309-332, 2017
强制性开放获取政策： Volkswagen Foundation
Extremal behaviour of aggregated data with an application to downscaling
S Engelke, R De Fondeville, M Oesting
Biometrika 106 (1), 127-144, 2019
强制性开放获取政策： Swiss National Science Foundation
Exact and fast simulation of max-stable processes on a compact set using the normalized spectral representation
M Oesting, M Schlather, C Zhou
Bernoulli 24 (2), 1497-1530, 2018
强制性开放获取政策： Volkswagen Foundation
Bayesian inference for multivariate extreme value distributions
C Dombry, S Engelke, M Oesting
Electronic Journal of Statistics 11 (2), 4813-4844, 2017
强制性开放获取政策： Swiss National Science Foundation
Conditional sampling for max-stable processes with a mixed moving maxima representation
M Oesting, M Schlather
Extremes 17 (1), 157-192, 2014
强制性开放获取政策： German Research Foundation
A comparative tour through the simulation algorithms for max-stable processes
M Oesting, K Strokorb
Statistical Science 37 (1), 42-63, 2022
强制性开放获取政策： German Research Foundation
Ordinal patterns in clusters of subsequent extremes of regularly varying time series
M Oesting, A Schnurr
Extremes 23 (4), 521-545, 2020
强制性开放获取政策： German Research Foundation
Quasi-Entropy Closure: a fast and reliable approach to close the moment equations of the Chemical Master Equation
V Wagner, B Castellaz, M Oesting, N Radde
Bioinformatics 38 (18), 4352-4359, 2022
强制性开放获取政策： German Research Foundation
Sampling sup‐normalized spectral functions for Brown–Resnick processes
M Oesting, M Schlather, C Schillings
Stat 8 (1), e228, 2019
强制性开放获取政策： Volkswagen Foundation
Detection of long range dependence in the time domain for (in) finite-variance time series
M Oesting, A Rapp, E Spodarev
Statistics 57 (6), 1352-1379, 2023
强制性开放获取政策： German Research Foundation
Implications of modeling seasonal differences in the extremal dependence of rainfall maxima
OE Jurado, M Oesting, HW Rust
Stochastic Environmental Research and Risk Assessment 37 (5), 1963-1981, 2023
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
Estimation of the spectral measure from convex combinations of regularly varying random vectors
M Oesting, O Wintenberger
The Annals of Statistics 52 (6), 2529-2556, 2024
强制性开放获取政策： Agence Nationale de la Recherche
Analysis and simulation of multivariate and spatial extremes
M Oesting
强制性开放获取政策： Volkswagen Foundation, Agence Nationale de la Recherche
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