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1308.0049
Cited By

A composite likelihood approach to computer model calibration using
high-dimensional spatial data

A composite likelihood approach to computer model calibration using high-dimensional spatial data

31 July 2013

ArXiv (abs)PDF HTML

Papers citing "A composite likelihood approach to computer model calibration using high-dimensional spatial data"

4 / 4 papers shown

Functional Regression with Intensively Measured Longitudinal Outcomes: A
New Lens through Data Partitioning

Functional Regression with Intensively Measured Longitudinal Outcomes: A New Lens through Data PartitioningCanadian journal of statistics (CJS), 2022

Emily C. Hector

259

4

0

26 Jul 2022

Bayesian Calibration of Imperfect Computer Models using Physics-Informed
Priors

Bayesian Calibration of Imperfect Computer Models using Physics-Informed PriorsJournal of machine learning research (JMLR), 2022

Michail Spitieris

495

8

0

17 Jan 2022

Computer Model Calibration with Time Series Data using Deep Learning and
Quantile Regression

Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression

341

8

0

29 Aug 2020

Ice Model Calibration Using Semi-continuous Spatial Data

Ice Model Calibration Using Semi-continuous Spatial DataAnnals of Applied Statistics (AOAS), 2019

93

5

0

31 Jul 2019

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