"Seattle" . . . . . "Generalized maximum likelihood estimates for exponential families"@en . . "Csisz\u00E1r, I." . . . "978-1-4244-0505-3" . "5"^^ . "1"^^ . "2006-07-09+02:00"^^ . . "exponential family; maximum likelihood estimator; likelihood function; variation distance; convex cores of measures; closures of exponential families"@en . "[5750D51A7963]" . . . . "Mat\u00FA\u0161, Franti\u0161ek" . . . "2"^^ . "IEEE" . . . "Generalized maximum likelihood estimates for exponential families" . "RIV/67985556:_____/06:00040857" . "476795" . . "Proceedings ISIT 2006" . "Generalized maximum likelihood estimates for exponential families"@en . "RIV/67985556:_____/06:00040857!RIV10-AV0-67985556" . "For a standard full exponential family on a Euclidean space, or its canonically convex subfamily, the generalized maximum likelihood estimator is an extension of the mapping that assigns to the mean a of a sample for which a maximizer t* of the corresponding likelihood function exists, the member of the family parameterized by t*. This extension assigns to each a with the likelihood function bounded above, a member of the closure of the family in variation distance. Its detailed description, complete characterization of domain and range, and additional results are presented, in a general setting. In addition to basic convex analysis tools, the authors' prior results on convex cores of measures and closures of exponential families are used." . . . . "For a standard full exponential family on a Euclidean space, or its canonically convex subfamily, the generalized maximum likelihood estimator is an extension of the mapping that assigns to the mean a of a sample for which a maximizer t* of the corresponding likelihood function exists, the member of the family parameterized by t*. This extension assigns to each a with the likelihood function bounded above, a member of the closure of the family in variation distance. Its detailed description, complete characterization of domain and range, and additional results are presented, in a general setting. In addition to basic convex analysis tools, the authors' prior results on convex cores of measures and closures of exponential families are used."@en . "P(IAA100750603), Z(AV0Z10750506)" . . "Generalized maximum likelihood estimates for exponential families" . . "Seattle" .