منابع مشابه
Likelihood Dominance Spatial Inference
Geographical Analysis, Vol. 35, No. 2 (April 2003) The Ohio State University Submitted: February 13, 2002. Revised version accepted: October 8, 2002. We would like to gratefully acknowledge the research support received from the National Science Foundation (BCS-0136193 and BCS-0136229). In addition, Pace would like to thank Ana Militino, Lola Ugarte, and the other seminar participants at the Un...
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The essential role of the likelihood function in both Bayesian and non-Bayesian inference is described. Several topics related to the extension of likelihood-based methodology to more complex settings are reviewed, including modifications to profile likelihood, composite and pseudo-likelihoods, quasi-likelihood, semiparametric and non-parametric likelihoods, and empirical likelihood . 2010 Jo...
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Dominance, the property that all paths to a given object must go through another object, is at the heart of ownership type disciplines. While ownership types have received abundant attention, ownership inference remains an open problem, and crucial questions about the practical impact of ownership remain unanswered. We argue that a static program analysis that infers dominance is a crucial firs...
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Given a sample from a fully specified parametric model, let Zn be a given finite-dimensional statistic for example, an initial estimator or a set of sample moments. We propose to (re-)estimate the parameters of the model by maximizing the likelihood of Zn. We call this the maximum indirect likelihood (MIL) estimator. We also propose a computationally tractable Bayesian version of the estimator ...
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A weighted empirical likelihood approach is proposed to take account of the heteroscedastic structure of the data. The resulting weighted empirical likelihood ratio statistic is shown to have a limiting chisquare distribution. A limited simulation study shows that the associated con*dence intervals for a population mean or a regression coe+cient have more accurate coverage probabilities and mor...
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ژورنال
عنوان ژورنال: Geographical Analysis
سال: 2003
ISSN: 0016-7363
DOI: 10.1111/j.1538-4632.2003.tb01105.x