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  • Search: subject:"Gaussian process prior"
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Year of publication
Subject
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Gaussian process prior 4 Advertising mix 3 Mixtures of ingredients 3 Nonparametric Bayes 3 Advertising 2 Bayes-Statistik 2 Bayesian inference 2 Gaussian process 2 Gauß-Prozess 2 In- gredient proportions 2 Nichtparametrisches Verfahren 2 Nonparametric statistics 2 Statistical distribution 2 Statistische Verteilung 2 Stochastic process 2 Stochastischer Prozess 2 Theorie 2 Theory 2 Werbung 2 Growth regression 1 MCMC 1 Mixtures of components 1 Model averaging 1 Model uncertainty 1 Semi-parametric Bayes 1 Variable selection 1
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Online availability
All
Free 2 Undetermined 2
Type of publication
All
Article 2 Book / Working Paper 2
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 3 Undetermined 1
Author
All
Fok, Dennis 3 Goos, Peter 3 Ruseckaite, Aiste 3 Salimans, Tim 1
Published in...
All
Discussion paper / Tinbergen Institute 1 Journal of Econometrics 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Tinbergen Institute Discussion Paper 1
Source
All
ECONIS (ZBW) 2 EconStor 1 RePEc 1
Showing 1 - 4 of 4
Cover Image
Flexible Mixture-Amount Models for Business and Industry using Gaussian Processes
Ruseckaite, Aiste; Fok, Dennis; Goos, Peter - 2016
Many products and services can be described as mixtures of ingredients whose proportions sum to one. Specialized models have been developed for linking the mixture proportions to outcome variables, such as preference, quality and liking. In many scenarios, only the mixture proportions matter for...
Persistent link: https://www.econbiz.de/10011586690
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Cover Image
Flexible mixture-amount models for business and industry using Gaussian processes
Ruseckaite, Aiste; Fok, Dennis; Goos, Peter - 2016
Many products and services can be described as mixtures of ingredients whose proportions sum to one. Specialized models have been developed for linking the mixture proportions to outcome variables, such as preference, quality and liking. In many scenarios, only the mixture proportions matter for...
Persistent link: https://www.econbiz.de/10011531150
Saved in:
Cover Image
Flexible mixture-amount models using multivariate Gaussian processes
Ruseckaite, Aiste; Fok, Dennis; Goos, Peter - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 2, pp. 257-271
Persistent link: https://www.econbiz.de/10012262461
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Cover Image
Variable selection and functional form uncertainty in cross-country growth regressions
Salimans, Tim - In: Journal of Econometrics 171 (2012) 2, pp. 267-280
Regression analyses of cross-country economic growth data are complicated by two main forms of model uncertainty: the uncertainty in selecting explanatory variables and the uncertainty in specifying the functional form of the regression function. Most discussions in the literature address these...
Persistent link: https://www.econbiz.de/10010588329
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