Gaussian processes and limiting linear models
نویسندگان
چکیده
منابع مشابه
8 Gaussian Processes and Limiting Linear Models
Gaussian processes retain the linear model either as a special case, or in the limit. We show how this relationship can be exploited when the data are at least partially linear. However from the perspective of the Bayesian posterior, the Gaussian processes which encode the linear model either have probability of nearly zero or are otherwise unattainable without the explicit construction of a pr...
متن کاملGaussian processes and limiting linear models
Gaussian processes retain the linear model either as a special case, or in the limit. We show how this relationship can be exploited when the data are at least partially linear. However from the perspective of the Bayesian posterior, the Gaussian processes which encode the linear model either have probability of nearly zero or are otherwise unattainable without the explicit construction of a pr...
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Gaussian processes retain the linear model either as a special case, or in the limit. We show how this relationship can be exploited when the data are at least partially linear. However from the perspective of the Bayesian posterior, the Gaussian processes which encode the linear model either have probability of nearly zero or are otherwise unattainable without the explicit construction of a pr...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2008
ISSN: 0167-9473
DOI: 10.1016/j.csda.2008.06.020