Kernel Model Validation: How to Do It, and Why You Should Care

This research addresses the need for proper probabilistic calibration of Gaussian Process (GP) models, discussing a formal procedure for validating covariance kernels.

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Publication Details

Journal
The ITEA Journal of Test and Evaluation
Published
2025-09-22
DOI
https://doi.org/10.61278/itea.46.3.1004
Primary Topic
Gaussian Processes and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Kernel Model Validation: How to Do It, and Why You Should Care

Marième Ngom, C. Graziani
The ITEA Journal of Test and Evaluation
Gaussian Processes and Bayesian Inference
article

Kernel Model Validation: How to Do It, and Why You Should Care

Marième Ngom, C. Graziani
article en

Abstract

This research addresses the need for proper probabilistic calibration of Gaussian Process (GP) models, discussing a formal procedure for validating covariance kernels.

The ITEA Journal of Test and EvaluationVol. 46(3)
Argonne National Laboratory (US)
Openalex Percentile: Top 86%
Gaussian Processes and Bayesian Inference
DOIOpen Access PDFOpenAlex
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Kernel Model Validation: How to Do It, and Why You Should Care — Marième Ngom, C. Graziani · The ITEA Journal of Test and Evaluation (2025) | TGRS Research Map | TGRS