B. W. Silverman. Density Ratios, Empirical Likelihood and Cot Death. Applied Statistics, 27(1):26--33, 1978. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Bayesian Classification with Gaussian Processes - Williams, Barber (1998) (23 citations) (Correct)
....recent overviews, see [25] and [8] There is a close connection between the GP and roughness penalty views, as explored in [9] By combining GLMs with non parametric regression one obtains what we shall call a non parametric GLM method for classification. Early references to this method include [21] and [16] and discussions can also be found in texts such as [8] and [25] There are two differences between the non parametric GLM method as it is usually described and a Bayesian treatment. Firstly, for fixed parameters the non parametric GLM method ignores the uncertainty in y and hence the ....
B. W. Silverman. Density Ratios, Empirical Likelihood and Cot Death. Applied Statistics, 27(1):26--33, 1978.
Bayesian Classification with Gaussian Processes - Williams, Barber (1998) (23 citations) (Correct)
....recent overviews, see [25] and [8] There is a close connection between the GP and roughness penalty views, as explored in [9] By combining GLMs with non parametric regression one obtains what we shall call a non parametric GLM method for classification. Early references to this method include [21] and [16] and discussions can also be found in texts such as [8] and [25] There are two differences between the non parametric GLM method as it is usually described and a Bayesian treatment. Firstly, for fixed parameters the non parametric GLM method ignores the uncertainty in y and hence the ....
B. W. Silverman. Density Ratios, Empirical Likelihood and Cot Death. Applied Statistics, 27(1):26--33, 1978.
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