Maximum smoothed likelihood density estimation for inverse problems
type: Item
instance of: scholarly article
title: Maximum smoothed likelihood density estimation for inverse problems
zbMATH Open document ID: 0822.62025
published in: The Annals of Statistics
publication date: 1995-09-10T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 65R30
zbMATH DE Number: 786210
zbMATH Keywords: almost sure convergence
zbMATH Keywords: integral equation of the first kind
zbMATH Keywords: compact integral operator
zbMATH Keywords: maximum smoothed likelihood formalism
zbMATH Keywords: nonlinearly smoothed algorithm
zbMATH Keywords: EM algorithm
zbMATH Keywords: strong convergence properties
zbMATH Keywords: kernel density estimators
zbMATH Keywords: maximum smoothed likelihood density estimation
zbMATH Keywords: regularization
zbMATH Keywords: stability
zbMATH Keywords: convergence
zbMATH Keywords: large sample asymptotic problem
zbMATH Keywords: strong law of large numbers
zbMATH Keywords: law of the iterated logarithm
author: Paul P. B. Eggermont
author: Vincent N. La Riccia
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aos/1176324463
OpenAlex ID: W1968608259
DOI: 10.1214/AOS/1176324463
description: scientific article; zbMATH DE number 786210