Some statistical issues in climate science
From MaRDI portal
Publication:2218015
DOI10.1214/19-STS730MaRDI QIDQ2218015
Publication date: 12 January 2021
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ss/1583226027
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- A stochastic space-time model for intermittent precipitation occurrences
- Probabilistic quantitative precipitation field forecasting using a two-stage spatial model
- INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
- Spatial hierarchical modeling of precipitation extremes from a regional climate model
- Estimating Shape Constrained Functions Using Gaussian Processes
- Geostatistical Modelling Using Non-Gaussian Matérn Fields
- Spatial Analysis to Quantify Numerical Model Bias and Dependence
- Model-Based Geostatistics
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
- Deterministic Nonperiodic Flow
- Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints
- Inference for Clusters of Extreme Values
- Stochastic Partial Differential Equation Based Modelling of Large Space–Time Data Sets
- Should annual maximum temperatures follow a generalized extreme value distribution?
- Statistics of Heteroscedastic Extremes
- Space–Time Covariance Functions
- Statistical modeling of spatial extremes