Isabella Gollini
Biographic Data
| ID | 937146 |
|---|---|
| NAME | Isabella Gollini |
| GIVEN NAMES | Isabella |
| FAMILY NAME | Gollini |
| SIGNATURE | GOLLINI I |
| AFFILIATIONS | University College Dublin |
| ORCID | 0000-0002-7738-5688 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Modelling interactions among offenders
Illegal markets are notoriously difficult to study. Police data offer an increasingly exploited source of evidence. However, their secondary nature poses challenges for researchers. A key issue is that researchers often have to deal with two sets of actors: targeted and non-targeted. This work develops a latent space model for interdependent ego-networks purposely created to deal with the targeted nature of police evidence. By treating targeted o…
GWmodel
Spatial statistics is a growing discipline providing important analytical techniques in a wide range of disciplines in the natural and social sciences. In the R package GWmodel we present techniques from a particular branch of spatial statistics, termed geographically weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localized calibration pro…
Theory of Statistics, Basics, and Fundamentals
No prominent works on this page.
Theory of Statistics, Basics, and Fundamentals
GWmodel
Spatial statistics is a growing discipline providing important analytical techniques in a wide range of disciplines in the natural and social sciences. In the R package GWmodel we present techniques from a particular branch of spatial statistics, termed geographically weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localized calibration pro…
Modelling interactions among offenders
Illegal markets are notoriously difficult to study. Police data offer an increasingly exploited source of evidence. However, their secondary nature poses challenges for researchers. A key issue is that researchers often have to deal with two sets of actors: targeted and non-targeted. This work develops a latent space model for interdependent ego-networks purposely created to deal with the targeted nature of police evidence. By treating targeted o…
Computer Science (3 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 works) · Computer security (1 works) · Crime Patterns and Interventions (1 works) · Crime, Illicit Activities, and Governance (1 works) · Cybercrime and Law Enforcement Studies (1 works) · Data mining (1 works) · Data science (1 works)