Flexible Mixture-Amount Models Using Multivariate Gaussian Processes

Aiste Ruseckaite; Dennis Fok; PP Goos

doi:10.1080/07350015.2018.1497506

Flexible Mixture-Amount Models Using Multivariate Gaussian Processes

Aiste Ruseckaite, Dennis Fok, PP Goos

Econometrics

Research output: Contribution to journal › Article › Academic

4 Citations (Scopus)

136 Downloads (Pure)

Original language	English
Pages (from-to)	257-271
Number of pages	15
Journal	Journal of Business and Economic Statistics
Volume	38
Issue number	2
Early online date	23 Nov 2018
DOIs	https://doi.org/10.1080/07350015.2018.1497506
Publication status	Published - 2020

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10.1080/07350015.2018.1497506

REPUB_111773.pdfFinal published version, 1.05 MBLicence: Article 25fa Dutch Copyright Act

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Flexible Mixture-Amount Models Using Multivariate Gaussian Processes
Ruseckaite, A. (Creator), Fok, D. (Creator) & Goos, P. (Creator), 2021
DOI: 10.6084/m9.figshare.7268627.v2, https://tandf.figshare.com/articles/dataset/Flexible_Mixture-Amount_Models_Using_Multivariate_Gaussian_Processes/7268627/2
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AU - Fok, Dennis

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Flexible Mixture-Amount Models Using Multivariate Gaussian Processes

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Flexible Mixture-Amount Models Using Multivariate Gaussian Processes

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