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  • Search: subject:"Nonparametric maximum likelihood"
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Year of publication
Subject
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nonparametric maximum likelihood 4 Nonparametric maximum likelihood 3 NPMLE 2 adaptive quadrature 2 cme 2 congeneric measurement model 2 convex optimization 2 covariate measurement error 2 empirical Bayes 2 factor model 2 gllamm 2 latent class model 2 measurement model 2 mixture model 2 nonparametric maximum likelihood estimator 2 semiparametric efficiency 2 sensitivity analysis 2 simulation 2 wrapper 2 Autoregressive model 1 Conditional coverage 1 Contingent valuation 1 Electricity market 1 Estimation theory 1 Interval forecast 1 Interval-censored data 1 Mathematical programming 1 Mathematische Optimierung 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Price forecast 1 Research Methods/ Statistical Methods 1 Schätztheorie 1 Turnbull's self-consistent algorithm 1 count data 1 functional central limit theorem 1 independence copula 1 infinite-dimensional Z-estimator 1
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Online availability
All
Free 9
Type of publication
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Book / Working Paper 7 Article 2
Type of publication (narrower categories)
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Working Paper 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 5 Undetermined 4
Author
All
Gu, Jiaying 2 Koenker, Roger 2 Pickles, Andrew 2 Rabe-Hesketh, Sophia 2 Segers, J.J.J. 2 Skrondal, Anders 2 Werker, Bas J.M. 2 van den Akker, R. 2 Day, Brett 1 Drost, Feike C. 1 Einmahl, John 1 Misiorek, Adam 1 Weron, Rafal 1
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Institution
All
Tilburg University, Center for Economic Research 3 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Discussion Paper / Tilburg University, Center for Economic Research 3 CEMMAP working papers / Centre for Microdata Methods and Practice 1 CSERGE Working Paper EDM 1 MPRA Paper 1 Stata Journal 1 cemmap working paper 1
Source
All
RePEc 5 EconStor 2 BASE 1 ECONIS (ZBW) 1
Showing 1 - 9 of 9
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Minimalist G-modelling: A comment on Efron
Koenker, Roger; Gu, Jiaying - 2019
-Wolfowitz nonparametric maximum likelihood estimator for mixture models for several examples. The latter approach has the advantage that it is …
Persistent link: https://www.econbiz.de/10012146365
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Minimalist G-modelling : a comment on Efron
Koenker, Roger; Gu, Jiaying - 2019 - Version: March 24, 2019.
-Wolfowitz nonparametric maximum likelihood estimator for mixture models for several examples. The latter approach has the advantage that it is …
Persistent link: https://www.econbiz.de/10011991882
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Improving Upon the Marginal Empirical Distribution Functions when the Copula is Known
Werker, Bas J.M.; Segers, J.J.J.; van den Akker, R. - Tilburg University, Center for Economic Research - 2008
At the heart of the copula methodology in statistics is the idea of separating marginal distributions from the dependence structure. However, as shown in this paper, this separation is not to be taken for granted: in the model where the copula is known and the marginal distributions are...
Persistent link: https://www.econbiz.de/10011090999
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Maximum Empirical Likelihood Estimation of the Spectral Measure of an Extreme Value Distribution
Einmahl, John; Segers, J.J.J. - Tilburg University, Center for Economic Research - 2008
AMS 2000 subject classifications: Primary 62G05, 62G30, 62G32; secondary 60G70, 60F05, 60F17, JEL: C13, C14.
Persistent link: https://www.econbiz.de/10011091150
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Efficient Estimation of Autoregression Parameters and Innovation Distributions forSemiparametric Integer-Valued AR(p) Models (Revision of DP 2007-23)
Drost, Feike C.; Werker, Bas J.M.; van den Akker, R. - Tilburg University, Center for Economic Research - 2008
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integer-valued phenomena that evolve over time. The distribution of an INAR(p) process is essentially described by two parameters: a vector of autoregression coefficients and a probability distribution on...
Persistent link: https://www.econbiz.de/10011091944
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Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models
Weron, Rafal; Misiorek, Adam - Volkswirtschaftliche Fakultät, … - 2008
This empirical paper compares the accuracy of 12 time series methods for short-term (day-ahead) spot price forecasting in auction-type electricity markets. The methods considered include standard autoregression (AR) models, their extensions – spike preprocessed, threshold and semiparametric...
Persistent link: https://www.econbiz.de/10005622046
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Distribution-free estimation with interval-censored contingent valuation data: Trobles with Turnbull?
Day, Brett - 2005
such data in order to obtain nonparametric maximum likelihood (NPML) estimates of the WTP distribution. This paper …
Persistent link: https://www.econbiz.de/10010319020
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Maximum likelihood estimation of generalized linear models with covariate measurement error
Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew - 2003
, we can use nonparametric maximum likelihood estimation (NPMLE) to relax the normality assumption for the true covariate …
Persistent link: https://www.econbiz.de/10009443380
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Maximum likelihood estimation of generalized linear models with covariate measurement error
Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew - In: Stata Journal 3 (2003) 4, pp. 386-411
, we can use nonparametric maximum likelihood estimation (NPMLE) to relax the normality assumption for the true covariate …
Persistent link: https://www.econbiz.de/10005583325
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