AUEB SEMINARS - 22/5/2014: On Bivariate (Marshall-Olkin) Weibull Geometric Distribution
Mon 19 May 2014 - 22:30
AUEB SEMINARS - 15/5/2014: Weighted pairwise likelihood estimation for a general class of random effects models
Wed 14 May 2014 - 11:32
OΙΚΟΝΟΜΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΘΗΝΩΝ
ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ & ΤΕΧΝΟΛΟΓΙΑΣ ΤΗΣ ΠΛΗΡΟΦΟΡΙΑΣ
ΤΜΗΜΑ ΣΤΑΤΙΣΤΙΚΗΣ
ΠΕΜΠΤΗ 15/5/2014
11:00 – 12:00
ΑΙΘΟΥΣΑ 607, 6ος ΟΡΟΦΟΣ,
ΚΤΙΡΙΟ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ
(ΕΥΕΛΠΙΔΩΝ & ΛΕΥΚΑΔΟΣ)
Vasileios Vasdekis, Associate Professor
Department of Statistics
Athens University of Economics & Business
Weighted pairwise likelihood estimation for a general class of random effects models
ABSTRACT
Models with random effects/latent variables are widely used for capturing unobserved heterogeneity in multilevel/hierarchical data and account for associations in multivariate data. The estimation of those models becomes cumbersome as the number of latent variables increases due to high-dimensional integrations involved. Composite likelihood is a pseudo-likelihood that combines lower-order marginal or conditional densities such as univariate and/or bivariate; it has been proposed in the literature as an alternative to full maximum likelihood estimation. We propose a weighted pairwise likelihood estimator based on estimates obtained from separate maximizations of marginal pairwise likelihoods. The derived weights minimize the total variance of the estimated parameters. The proposed weighted estimator is found to be more efficient than the one that assumes all weights to be equal. The methodology is applied to a multivariate growth model for binary outcomes in the analysis of four indicators of schistosomiasis before and after drug administration.
ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ & ΤΕΧΝΟΛΟΓΙΑΣ ΤΗΣ ΠΛΗΡΟΦΟΡΙΑΣ
ΤΜΗΜΑ ΣΤΑΤΙΣΤΙΚΗΣ
ΠΕΜΠΤΗ 15/5/2014
11:00 – 12:00
ΑΙΘΟΥΣΑ 607, 6ος ΟΡΟΦΟΣ,
ΚΤΙΡΙΟ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ
(ΕΥΕΛΠΙΔΩΝ & ΛΕΥΚΑΔΟΣ)
Vasileios Vasdekis, Associate Professor
Department of Statistics
Athens University of Economics & Business
Weighted pairwise likelihood estimation for a general class of random effects models
ABSTRACT
Models with random effects/latent variables are widely used for capturing unobserved heterogeneity in multilevel/hierarchical data and account for associations in multivariate data. The estimation of those models becomes cumbersome as the number of latent variables increases due to high-dimensional integrations involved. Composite likelihood is a pseudo-likelihood that combines lower-order marginal or conditional densities such as univariate and/or bivariate; it has been proposed in the literature as an alternative to full maximum likelihood estimation. We propose a weighted pairwise likelihood estimator based on estimates obtained from separate maximizations of marginal pairwise likelihoods. The derived weights minimize the total variance of the estimated parameters. The proposed weighted estimator is found to be more efficient than the one that assumes all weights to be equal. The methodology is applied to a multivariate growth model for binary outcomes in the analysis of four indicators of schistosomiasis before and after drug administration.
AUEB SEMINARS MAY-JUNE 2014 (ΕΝΗΜΕΡΩΜΕΝΟ 21/5/2014)
Tue 6 May 2014 - 10:03
ΟΙΚΟΝΟΜΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΘΗΝΩΝ
ΤΜΗΜΑ ΣΤΑΤΙΣΤΙΚΗΣ
ΣΕΙΡΑ ΣΕΜΙΝΑΡΙΩΝ ΤΜΗΜΑΤΟΣ ΣΤΑΤΙΣΤΙΚΗΣ
ΜΑΙΟΣ – ΙΟΥΝΙΟΣ 2014
ΑΙΘΟΥΣΑ 607, 6ος ΟΡΟΦΟΣ,
ΚΤΙΡΙΟ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ
(ΕΥΕΛΠΙΔΩΝ & ΛΕΥΚΑΔΟΣ)
Το τμήμα Στατιστικής του Οικονομικού Πανεπιστημίου Αθηνών ανακοινώνει τον ακόλουθο κύκλο Σεμιναρίων για το Μάιο και Ιούνιο του 2014. Οι ομιλίες είναι ανοικτές στο κοινό και απευθύνονται σε φοιτητές Μάστερ, Διδακτορικούς φοιτητές, μεταδιδακτορικούς ερευνητές και μέλη ΔΕΠ.
ΤΜΗΜΑ ΣΤΑΤΙΣΤΙΚΗΣ
ΣΕΙΡΑ ΣΕΜΙΝΑΡΙΩΝ ΤΜΗΜΑΤΟΣ ΣΤΑΤΙΣΤΙΚΗΣ
ΜΑΙΟΣ – ΙΟΥΝΙΟΣ 2014
ΑΙΘΟΥΣΑ 607, 6ος ΟΡΟΦΟΣ,
ΚΤΙΡΙΟ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ
(ΕΥΕΛΠΙΔΩΝ & ΛΕΥΚΑΔΟΣ)
Το τμήμα Στατιστικής του Οικονομικού Πανεπιστημίου Αθηνών ανακοινώνει τον ακόλουθο κύκλο Σεμιναρίων για το Μάιο και Ιούνιο του 2014. Οι ομιλίες είναι ανοικτές στο κοινό και απευθύνονται σε φοιτητές Μάστερ, Διδακτορικούς φοιτητές, μεταδιδακτορικούς ερευνητές και μέλη ΔΕΠ.
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