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Filtering by: Contributor advisor sim Brunk, H. D.

Nonparametric estimation of distributions using orthogonal expansions

Creator:

Crain, Bradford Robert

Abstract:

Methods of approximation and estimation of the density and the cumulative distribution function of a distribution over a finite interval are investigated. Goodness of the methods is measured pointwise and in terms of mean integrated squared error (MISE). If the density obeys certain regulatory conditions, i. e. , continuous, positive,...

Resource Type:

Dissertation
Bayesian regression with autoregressive priors

Creator:

Haff, Leonard Ray

Resource Type:

Dissertation
Multivariate density estimation : a Bayesian approach

Creator:

Sexton, Gary Joe

Resource Type:

Dissertation
Density estimation using orthogonal series : a Bayesian approach

Creator:

Pointer, Patrick C.

Resource Type:

Dissertation
Nonparametric estimation of univariate and mixing densities : a Bayesian Least Squares approach

Creator:

Shih, John I.

Resource Type:

Dissertation
A prior distribution for smooth regression

Creator:

Deaton, Leonard William

Resource Type:

Dissertation