Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Shaby, Benjamin"'
Extreme events over large spatial domains may exhibit highly heterogeneous tail dependence characteristics, yet most existing spatial extremes models yield only one dependence class over the entire spatial domain. To accurately characterize "data-lev
Externí odkaz:
http://arxiv.org/abs/2412.07957
Autor:
Wixson, Troy P., Shaby, Benjamin A., Philtron, Daisy L., Consortium, International Parkinson Disease Genomics, Lima, Leandro A., Wyman, Stacia K., Kaye, Julia A., Finkbeiner, Steven
We seek to identify genes involved in Parkinson's Disease (PD) by combining information across different experiment types. Each experiment, taken individually, may contain too little information to distinguish some important genes from incidental one
Externí odkaz:
http://arxiv.org/abs/2406.05262
We propose a model to flexibly estimate joint tail properties by exploiting the convergence of an appropriately scaled point cloud onto a compact limit set. Characteristics of the shape of the limit set correspond to key tail dependence properties. W
Externí odkaz:
http://arxiv.org/abs/2306.13257
Humans have recorded the arrival dates of migratory birds for millennia, searching for trends and patterns. As the first arrival among individuals in a species is the realized tail of the probability distribution of arrivals, the appropriate statisti
Externí odkaz:
http://arxiv.org/abs/2306.06295
Quantifying changes in the probability and magnitude of extreme flooding events is key to mitigating their impacts. While hydrodynamic data are inherently spatially dependent, traditional spatial models such as Gaussian processes are poorly suited fo
Externí odkaz:
http://arxiv.org/abs/2208.03344
Autor:
Zhang, Likun, Shaby, Benjamin A.
The univariate generalized extreme value (GEV) distribution is the most commonly used tool for analyzing the properties of rare events. The ever greater utilization of Bayesian methods for extreme value analysis warrants detailed theoretical investig
Externí odkaz:
http://arxiv.org/abs/2103.05747
Autor:
Zhang, Likun, Shaby, Benjamin
The three-parameter generalized extreme value distribution arises from classical univariate extreme value theory and is in common use for analyzing the far tail of observed phenomena. Curiously, important asymptotic properties of likelihood-based est
Externí odkaz:
http://arxiv.org/abs/2008.06400
We introduce an approach to quickly and accurately approximate the cumulative distribution function of multivariate Gaussian distributions arising from spatial Gaussian processes. This approximation is trivially parallelizable and simple to implement
Externí odkaz:
http://arxiv.org/abs/2007.15195
The hazard of pluvial flooding is largely influenced by the spatial and temporal dependence characteristics of precipitation. When extreme precipitation possesses strong spatial dependence, the risk of flooding is amplified due to catchment factors t
Externí odkaz:
http://arxiv.org/abs/1911.05881
Flexible spatial models that allow transitions between tail dependence classes have recently appeared in the literature. However, inference for these models is computationally prohibitive, even in moderate dimensions, due to the necessity of repeated
Externí odkaz:
http://arxiv.org/abs/1907.09617