Modeling threshold exceedance probabilities of spatially correlated time series

DOI10.1214/08-EJS252zbMath1326.62220arXiv0901.4647MaRDI QIDQ1951972

Dana Draghicescu, Rosaria Ignaccolo

Publication date: 27 May 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0901.4647

zbMATH Keywords

smoothingvisualizationspatial interpolationPM\(_{10}\)spatial time seriesthreshold exceedance probability

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Graphical methods in statistics (62A09)

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A time dependent Bayesian nonparametric model for air quality analysis ⋮ Dependent functional data

Uses Software

• KernSmooth

Cites Work

• Central limit theorems for non-linear functionals of Gaussian fields
• Nonparametric statistics for stochastic processes. Estimation and prediction.
• Interpolation of spatial data. Some theory for kriging
• Extreme value theory for a class of nonstationary time series with applications
• Resampling methods for dependent data
• Extreme value analysis of environmental time series: an application to trend detection in ground-level ozone. With comments and a rejoinder by the author
• A Flexible and Fast Method for Automatic Smoothing
• Estimating Probabilities of Extreme Sea-Levels
• A New Kernel Distribution Function Estimator Based on a Non‐parametric Transformation of the Data
• Statistical advances in environmental science
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