Bayesian nonstationary Gaussian process models via treed process convolutions
DOI10.1007/s11634-018-0341-2zbMath1474.60102OpenAlexW2770137689WikidataQ129231121 ScholiaQ129231121MaRDI QIDQ2324262
Herbert K. H. Lee, Waley W. J. Liang
Publication date: 11 September 2019
Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)
Full work available at URL: https://escholarship.org/uc/item/5z54b90s
spatial statisticsstochastic modelingheteroscedasticityclassification and regression treesreduced-rank approximation
Random fields (60G60) Inference from stochastic processes and prediction (62M20) Inference from spatial processes (62M30) Gaussian processes (60G15) Bayesian inference (62F15)
Uses Software
Cites Work
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