(redirected from Penalized Maximum Likelihood)
PMLPakistan Muslim League
PMLProgressive Multifocal Leukoencephalopathy
PMLPromyelocytic Leukemia
PMLPerfectly Matched Layer
PMLPlymouth Marine Laboratory
PMLProbable Maximum Loss (insurance)
PMLProquest Medical Library (database)
PMLPage Maker Library
PMLPersonalized Mailing List
PMLProvider Multi Language
PMLPalm Markup Language
PMLProgramming Meta Language
PMLPhysical Markup Language
PMLPanoro Minerals Ltd (Vancouver, BC, Canada)
PMLPrinter Management Language
PMLProject Management Logistics (shipping)
PMLPublic Missiles Ltd
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PMLPseudo-Maximum-Likelihood (data estimation algorithm)
PMLPrins Maurits Laboratory (Nederlandse Organisatie Voor Toegepast Natuurwetenschappelijk Onderzoek)
PMLPosterior Mitral Leaflet
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PMLPartido Movimiento Libertario (Libertarian Movement Party, Costa Rica)
PMLProcess Modelling Language
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PMLPrimary Mortgage Loan (various locations)
PMLPissing Myself Laughing
PMLPollard Memorial Library (Lowell, MA)
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PMLParti Marocain Libéral (French: Moroccan Liberal Party)
PMLPiss Myself Laughing (Australian)
PMLPenalized Maximum Likelihood
PMLPersonalized Mailing List (RootsWeb)
PMLPath Merge LSR (Label Switched Router)
PMLPeeing Myself Laughing
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PMLPreferred Medicines List (New Zealand)
PMLPerformance Model Library
PMLPreventive Maintenance Level
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PMLPattern Makers' League
PMLPoor Man's Lift (automobile modification)
PMLProgram Management Line
PMLPersonnel Movement Limitation
PMLPacket Mode Line
PMLPrecision Measuring Laboratory
PMLProtocol Management Module
PMLPolicy Management Layer
PMLProgrammable Micro-Logic
PMLPlatform Mission Library
PMLProton Missile Launcher (Star Wars game)
PMLPresentation Management Layer
PMLPasture Managed Lands
PMLPaper Markup Language (an extension of XML with definitions for the paper industry)
PMLProgram Management Listing
References in periodicals archive ?
The "Penalized Maximum Likelihood Estimator and Risk Measure Estimators" section then presents the details about the fitting procedure.
In this section, we present the penalized maximum likelihood estimator and a backfitting algorithm for simultaneously estimating the parameters [xi] and v (thus [beta]) associated with the approximate GPD for the excesses; see (9) and (10) above.
The simulated losses are drawn from a (nonstationary) GPD depending on the covariates "year" and "group." We remove the losses of year 2006 in group "A" (to mimic having no losses for this yeargroup combination) and then fit the (Poisson process) intensity A and the two GPD parameters [xi] and [beta] depending on "year" and "group" and compute bootstrapped confidence intervals using the methodology presented in the "Loss Frequency" section to "The Penalized Maximum Likelihood Estimator and Risk Measure Estimators" section.