Ice model calibration using semicontinuous spatial data
DOI10.1214/21-AOAS1577zbMath1498.62283arXiv1907.13554OpenAlexW2965505024WikidataQ114599213 ScholiaQ114599213MaRDI QIDQ2170447
Publication date: 5 September 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1907.13554
dimension reductioncomputer model emulationcomputer model calibrationsemicontinuous spatial datawest Antarctic ice sheet
Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to environmental and related topics (62P12)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A generalized Gaussian process model for computer experiments with binary time series
- Fast dimension-reduced climate model calibration and the effect of data aggregation
- Improving ice sheet model calibration using paleoclimate and modern data
- Sparse logistic principal components analysis for binary data
- Generalized additive models
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Robust Gaussian stochastic process emulation
- A case study competition among methods for analyzing large spatial data
- Parallel partial Gaussian process emulation for computer models with massive output
- Computer model validation with functional output
- Bayesian Calibration of Computer Models
- A composite likelihood approach to computer model calibration with high-dimensional spatial data
- Sampling-Based Approaches to Calculating Marginal Densities
- Computer Model Calibration Using High-Dimensional Output
- Probabilistic Principal Component Analysis
- Objective Bayesian Analysis of Spatially Correlated Data
- Uncertainty Quantification for Computer Models With Spatial Output Using Calibration-Optimal Bases
- Sufficient Dimension Reduction via Inverse Regression
This page was built for publication: Ice model calibration using semicontinuous spatial data