Parameter estimation for computationally intensive nonlinear regression with an application to climate modeling

DOI10.1214/08-AOAS210zbMath1168.62063arXiv0901.3665OpenAlexW3100418142WikidataQ58380695 ScholiaQ58380695MaRDI QIDQ999652

Chris E. Forest, Doug Nychka, Dorin Drignei

Publication date: 10 February 2009

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0901.3665

zbMATH Keywords

space-time modelingequilibrium climate sensitivityobserved and modeled climatestatistical surrogatetemperature data

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) General nonlinear regression (62J02) Meteorology and atmospheric physics (86A10)

Related Items

Fast dimension-reduced climate model calibration and the effect of data aggregation ⋮ Reduced order models for many-query subsurface flow applications ⋮ Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation ⋮ A Kriging approach to the analysis of climate model experiments ⋮ Statistical approximation of high-dimensional climate models ⋮ Special section on statistics in the atmospheric sciences ⋮ Uncertainty Analysis for Functional Computer Output: A Simulation Study in Inverse Problems

Uses Software

• bootstrap

Cites Work

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