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Seminario Bent Jorgensen, dia 10, as 16h



Efficient Estimation for Incomplete Multivariate Data
Bent Jorgensen

We compare the Fisher scoring and EM algorithms for incomplete
multivariate data, and investigate the corresponding estimating functions
under second-moment assumptions. We propose a hybrid algorithm, where
Fisher scoring is used for the mean vector and the EM algorithm for the
covariance matrix. A bias-corrected estimate for the covariance matrix is
obtained. This is joint work with Hans Chr. Petersen.

data: 10/08/2009, 16h
local: Departamento de Ciências Exatas, ESALQ/USP

Saudaç~es, Clarice
-- 
Clarice Garcia Borges Demétrio
Departamento de Ciências Exatas
Escola Superior de Agricultura "Luiz de Queiroz"
Universidade de São Paulo,
13418-900 Piracicaba, SP
Brasil
phone: 55 19 34294144 R216


Biometry, the active pursuit of biological knowledge by quantitative
methods.? ? R.A. Fisher, 1948