Bayesian methods for illegal population size estimation

Anno
2021
Proponente Andrea Tancredi - Professore Ordinario
Sottosettore ERC del proponente del progetto
PE1_14
Componenti gruppo di ricerca
Componente Categoria
Davide Di Cecco Componenti strutturati del gruppo di ricerca
Tiziana Tuoto Dottorando/Assegnista/Specializzando componente non strutturato del gruppo di ricerca
Abstract

Capture recapture models are frequently used to estimate the size of an elusive population. In this research we will focus on specific criminal populations as drug traffickers and prostitution exploiters. We will investigate the possibility to take account of heterogeneity of these illegal populations by using mixture models. Moreover, since these populations present also particular behavioral effects that may affect the capture patterns we will consider capture recapture models where such behaviors are accounted for by inflating specific capture histories. The methodology proposed will be evaluated by official data sets provided by the Ministry of Justice. In addition we will use also real data available from the literature on capture-recapture models , where the issues of heteregeneity and behavioral effect have been recognized.

ERC
PE1_14
Keywords:
INFERENZA STATISTICA, STATISTICA GIUDIZIARIA, STATISTICA COMPUTAZIONALE, MODELLI STATISTICI, STATISTICA UFFICIALE

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