Finite-Rank Logistic Gaussian Processes with Exact Likelihood for Conditional Density Estimation

stat.ME, math.ST, stat.AP, stat.ML, stat.TH

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 47 pages, 4 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Logistic Gaussian process density regression: a generalized Bayesian approach
• Adaptive Resolution for Finite-Rank Gaussian Processes
• Isotonic surrogate modeling for computer experiments with many input variables
• Dimension adaptability of Gaussian process models with variable selection and projection

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