Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes

DOI10.1214/17-BA1064zbMath1407.62347MaRDI QIDQ1631562

Majid Jafari Khaledi, Hamid Zareifard, Firoozeh Rivaz, Mohammed Q. Vahidi-Asl

Publication date: 6 December 2018

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1502762659

zbMATH Keywords

skewnessslice samplingspatial processmisalignmentmixed outcomes

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Gaussian processes (60G15) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Related Items (3)

Nearest-neighbor mixture models for non-Gaussian spatial processes ⋮ A spatial skew-Gaussian process with a specified covariance function ⋮ Generalized spatial stick-breaking processes

Uses Software

• GMRFLib

Cites Work

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