[Forum SIS] Annuncio di seminari

[Anna Gottard]

DiSIA  (Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”)
Università di Firenze


PROSSIMI SEMINARI


Charles Taylor  (University of Leeds) terrà i seguenti seminari : 


Venerdì 19 Settembre 2014 ore 12.00 

Validating protein structure using kernel density estimates

Measuring the quality of determined protein structures is a very important problem in bioinformatics. Kernel
density estimation is a well-known nonparametric method which is often used for exploratory data analysis. Recent
advances, which have extended previous linear methods to multi-dimensional circular data, give a sound basis for
the analysis of conformational angles of protein backbones, which lie on the torus. By using an energy test, which
is based on interpoint distances, we initially investigate the dependence of the angles on the amino acid type. Then
by computing tail probabilities which are based on amino-acid conditional density estimates, a method is proposed
which permits inference on a test set of data. This can be used, for example, to validate protein structures, choose
between possible protein predictions and highlight unusual residue angles.


Lunedì 22 Settembre 2014 ore 15.00

Nonparametric prediction of internet advertising conversion rates

In 2013 Google revenue exceeded 55 billion dollars, most of which came from advertising, and most of this from
AdWords. Depending on the search term, companies will bid to have their site placed at the top of the list. Google
then receive the bid price if the user clicks on an Ad link, but the company only benets if they make an (extra)
sale. Using data on conversion examples, this talk will explore a nonparametric approach to predicting success,
when the data are in the form of short text strings. Dierent distance measures will be examined, as will a method
for selecting a smoothing parameter.



I seminari saranno tenuti presso l’aula 32 del DiSIA, Viale Morgagni n. 59 - 50134 Firenze.

Tutti gli interessati sono cordialmente invitati a partecipare.


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Anna Gottard
Dipartimento di Statistica Informatica Applicazioni
V.le Morgagni 59, Firenze

gottard a disia.unifi.it
http://local.disia.unifi.it/gottard/
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