[Forum SIS] Webinar by Sir Bernard Silverman, 2 October 2020

[Alessio Farcomeni]

It is my great pleasure to announce that on Friday 2 October, 2020, at
4p.m. (Italian time) Sir  Bernard Silverman FRS (University of Nottingham)
will give the following Riccardo Faini CEIS-University of Tor Vergata
webinar:

Title: Multiple Systems Estimation for Hard-to-count Populations: Some
Recent Developments

Abstract: Multiple systems estimates have been used in many contexts where
direct quantification of a population is not possible, especially in the
general area of human rights. They are one of the approaches used to
estimate the numbers of victims of human trafficking and modern slavery,
and a multiple systems estimate was a leading component of the UK
Government’s strategy leading to the passing of its Modern Slavery Act. I
will survey the use of the method in this context and consider some
specific issues that arise. In particular, the sparseness of the data
tables requires attention to aspects of generalised linear models beyond
those addressed in standard software packages. Furthermore, not only for
sparse data but more generally, because there are many different possible
models to choose between, statistical inference should not be carried out
conditional on the chosen model but should take account of the model choice
step. Aspects of a bootstrap approach will be considered. It is necessary
to pay careful attention to the computational burden even with modern
computing power.

This year, due to the Covid-19 situation, the usual CEIS (Center for
Economic and International Studies) - University of Tor Vergata seminar
series has been moved online. The webinar will be held online on the Teams,
registration is mandatory and
the registration form can be found at this URL:
http://www.ceistorvergata.it/area.asp?a=403&oc=499&d=791

Sir Bernard Silverman will give the inaugural seminar for the Fall series,
a complete schedule can be found here:
http://www.ceistorvergata.it/area.asp?a=403

best regards
Alessio Farcomeni
Department of Economics and Finance
University of Rome "Tor Vergata"
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