[Forum SIS] avviso di seminari - Prof.ssa Eva Riccomagno, Universita' degli studi di Genova; Prof. Jim Smith, University of Warwick

[Maria Giovanna Ranalli]

.: Eva Riccomagno, Dipartimento di Matematica, Università degli Studi  
di Genova :.

Lunedi 20 Settembre, ore 12, Aula 101
Martedi 21 Settembre, ore 11, Aula 201
Università degli Studi di Perugia, Dipartimento di Economia, Finanza e  
Statistica

.: Algebraic Statistical models :.

Abstract:
We shall show how some important classes of statistical models,  
including some
log-linear models and  independence models, are algebraic varieties  
under suitable parametrization.
For some of this models the primary decomposition of polynomial ideals  
give insight on the
different components of the models. Some comments on issues related to  
singularities and
to models inspired by the algebra will be made. This presentation is  
intended as an
elementary introduction to a topic that is involving an increasing  
number of researchers in statistics and algebraic geometry.

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.: Jim Smith, Department of Statistics, University of Warwick :.

Martedi 21 Settembre, ore 12, Aula 101
Università degli Studi di Perugia, Dipartimento di Economia, Finanza e  
Statistica

.: Understanding the Geometry underlying Two Types of Discrete Tree :.

Abstract:
The Bayesian network is a common way of representing high
dimensional discrete problems. Another is the event tree. In this talk I
will demonstrate how certain classes of polynomial equations are
intrinsic to both these classes of model and how understanding the
geometry behind this semi-algebraic description enhances our
understanding of the nature and implications of these model classes. The
talk will be illustrated by two classes of model: binary BN tree models
with hidden variables and event tree models with coalescence.


Cordiali saluti

M. Giovanna Ranalli

~ Dipartimento di Economia, Finanza e Statistica
~ Sezione di Statistica
~ Via Pascoli
~ Universita' degli Studi di Perugia
~ 06123 Perugia - Italy

~ Tel +39 075 5855939
~ Fax +39 075 5855950
~ url: www.stat.unipg.it/~giovanna

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