Isadora ANTONIANO VILLALOBOS

Position
Associate Professor
Telephone
041 234 8407
E-mail
isadora.antoniano@unive.it
Scientific sector (SSD)
Statistica [STAT-01/A]
Website
www.unive.it/people/isadora.antoniano (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino
Room: office Z.A15 (Zeta A building, 1st floor)

Activities and research skills

Scientific sector (SSD)
Statistica [STAT-01/A]
Settore Scientifico Disciplinare (SSD) affine
PROBABILITA' E STATISTICA MATEMATICA [MAT/06]
Geographic areas in which the research experience mainly applies
Internazionale: Europa, America Latina
Known languages
English (scritto: avanzato parlato: avanzato)
Spanish (scritto: madrelingua parlato: madrelingua)
Italian (scritto: avanzato parlato: avanzato)
Participation in editorial boards of scientific journals/book series

Main departmental research areas and fields
Area: Chimica Fisica e Materiali
Area: Statistica Linea: Not-for-profit - Modelli e metodi
Statistical models and methods for complex data structures
Description:
Flexible models and methods for the identification and characterization of complex relations in phenomena involving large or highly structured datasets or other challenging features, such as temporal or spatial evolution
Keywords:
Statistics, Probability theory
Bayesian Density Regression
SSD:
SECS-S/01
Bayesian inference for intractable models
SSD:
SECS-S/01
Bayesian inference for time series
SSD:
SECS-S/01
Bayesian methods for risk analysis
SSD:
SECS-S/01
Bayesian models for multivariate extremes
SSD:
SECS-S/01
Extreme value methods for hydrological applications
SSD:
SECS-S/01
Other members of the research group:
Ilaria PROSDOCIMI
Multivariate objective priors and variable selection
SSD:
SECS-S/01
Bayesian Nonparametric Mixture Models for the Dependence of Extremes (BayMEx)
Funding body:
Ca' Foscari University of Venice
Type:
Progetti di Ateneo
Role in the project:
NS
Starting date:
Year: 2019 Length in months: 24
Modern Bayesian nonparametric methods
Funding body:
MIUR
Type:
PRIN
Role in the project:
NS
Starting date:
Year: 2016 Length in months: 36
RISE: Rethinking and Innovating Statistics for Extremes
Funding body:
MIUR
Type:
PRIN
Role in the project:
NS
Sito di progetto:
https://risextremes.github.io/
Starting date:
Year: 2023 Length in months: 36
Other members of the research group:
Ilaria PROSDOCIMI
SMARTMUS-E: Smart management of energy and costs in museums. A chemical background for a control methodology forTemperature and Relative Humidity fluctuations
Funding body:
EUROPEAN COMMISSION: Horizon Europe Framework Programme (HORIZON)
Type:
Altri finanziamenti per progetti di ricerca
Role in the project:
NS
Starting date:
Year: 2023 Length in months: 30