Department of HISTORY AND PHILOSOPHY OF SCIENCE
Eotvos University, Budapest
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Pazmany P. setany 1/A
Budapest, Hungary
Phone/Fax: (36-1) 372 2924
The web site of the seminar:
http://hps.elte.hu/seminar
Philosophy of Science Colloquium
Room 6.54 (6th floor) Monday 4:00 PM
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21 October 4:00 PM 6th floor 6.54
(Language of presentation: English, except all participants speak Hungarian)
Tamás Rudas <mailto:rudas@tarki.hu>
Department of Statistics, Institute of Sociology, Eotvos University,
Budapest
Measurement and modelling of association in contingency tables
Association between two variables is defined in the talk as the
information in their joint distribution not present in the univariate
distributions. Therefore, a measure of association, together with the
marginal distributions, has to parameterize the joint distribution and
has to be variationally independent from the marginals. These
requirements point to the odds ratio as the only appropriate measure of
association.
For higher dimensional contingency tables, a possible generalization is
the system of conditional odds ratios. The conditional odds ratios, on
an ascending class of subsets, are variationally independent from the
marginal distributions on the complement descending class and together
parameterize the joint distribution. Depending on the class of subsets
used, one obtains a flexible class of parametereizations that can be
used to model the conditional association structure. The models obtained
by assuming lack of conditional association on an ascending class of
subsets are of the log-linear type.
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The 60-minute lecture is followed by a 10-minute break. Then we held a
30-60-minute discussion.
The organizer of the seminar: László E. Szabó
<http://hps.elte.hu/%7Eleszabo> (email: leszabo(a)hps.elte.hu
<mailto:leszabo@hps.elte.hu>)
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L a s z l o E. S z a b o
Theoretical Physics Research Group of the Hungarian Academy of Sciences
Department of History and Philosophy of Science
Eotvos University, Budapest
H-1518 Budapest, Pf. 32, Hungary
Phone/Fax: (36-1)372-2924
Mobil/SMS: (36) 20-366-1172
http://hps.elte.hu/~leszabo