Dorin Drignei - IMAGe

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Statistics areas involved• Bayesian modeling• Design and analysis of computer experiments

An Introduction to Statistical Extreme Value Theory - IMAGe

Bayesian Inference for Proper Gaussian Markov Random ... - IMAGe

David Karoly, Frank Drost and Ailie Gallant University of ... - IMAGe

Introduction to Krylov subspace methods - IMAGe

A Spatial Analysis of Multivariate Output from Regional ... - IMAGe

Detecting natural influence on surface air temperature ... - IMAGe

Tipping points in a simple model of Arctic sea ice - IMAGe

Uncertainty in hydrological models - IMAGe

simulations of ocean mixed layers with stochastic surface ... - IMAGe

Simulation of Global Land Surface Conditions from 1948 to ... - IMAGe

Objective Tropical Cyclone Intensity Estimation from Satellite Images ...

Smoothing, penalized least squares and splines - IMAGe

Statistics areas involved• Bayesian modeling• Design and analysis of computer experiments

Climate models and observed climate data• Climate Variables: ≈ 30 years averages of meteorological variables.• Modeled Climate: mathematical model (partial diff. eqns) of weather whoseoutput variables are averaged.• Observed Climate: averages of observed variables.• Modeled climate data - on a gridObserved climate data - irregular (much sparser than model data)

Page 1: Quantifying uncertainties of climat
Page 5 and 6: Goal: Find θ that best fits the ob
Page 7 and 8: Some details• Nonlinear regressio

Dorin Drignei - IMAGe

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