منابع مشابه
The Epic Story of Maximum Likelihood
At a superficial level, the idea of maximum likelihood must be prehistoric: early hunters and gatherers may not have used the words “method of maximum likelihood” to describe their choice of where and how to hunt and gather, but it is hard to believe they would have been surprised if their method had been described in those terms. It seems a simple, even unassailable idea: Who would rise to arg...
متن کاملMaximum Likelihood Estimation of Parameters in Generalized Functional Linear Model
Sometimes, in practice, data are a function of another variable, which is called functional data. If the scalar response variable is categorical or discrete, and the covariates are functional, then a generalized functional linear model is used to analyze this type of data. In this paper, a truncated generalized functional linear model is studied and a maximum likelihood approach is used to esti...
متن کامل"The epic story of the deadliest plague in history".
SUMMARY "The Great Influenza" recounts what humanity witnessed and experienced during the 1918 influenza pandemic. Author John M. Barry also describes the remarkable transformation of U.S. medical education just prior to 1918. That transformation not only helped America cope with the pandemic but also continues to influence medical research and practice today.
متن کاملThe Maximum Likelihood Degree
Maximum likelihood estimation in statistics leads to the problem of maximizing a product of powers of polynomials. We study the algebraic degree of the critical equations of this optimization problem. This degree is related to the number of bounded regions in the corresponding arrangement of hypersurfaces, and to the Euler characteristic of the complexified complement. Under suitable hypotheses...
متن کاملMaximum Likelihood
In this paper we discuss maximum likelihood estimation when some observations are missing in mixed graphical interaction models assuming a conditional Gaussian distribution as introduced by Lauritzen & Wermuth (1989). For the saturated case ML estimation with missing values via the EM algorithm has been proposed by Little & Schluchter (1985). We expand their results to the special restrictions ...
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ژورنال
عنوان ژورنال: Statistical Science
سال: 2007
ISSN: 0883-4237
DOI: 10.1214/07-sts249