Marco Minozzo

Marco,  December 11, 2006
Position
Associate Professor
Academic sector
SECS-S/01 - STATISTICS
Research sector (ERC)
PE1_13 - Probability

PE1_14 - Statistics

Office
Santa Marta,  Floor 1,  Room 1.33
Telephone
045/8028234
Mobile
3472481561
Fax
045/8028177
E-mail
marco|minozzo*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Tuesday, Hours 12:00 PM - 1:00 PM,   Santa Marta, floor 1, room 1.33

Curriculum

Associate professor of Statistics at University of Verona. He was previously Researcher in Statistics at University of Perugia. He earned a degree in Statistics and Economics from the University of Padova and received a Ph.D. in Statistics from University College London. The main current field of research is on the modelling of multivariate geostatistical data. The teaching activity is concentrated in courses of statistics and probability at undergraduate, graduate and postgraduate levels.
  

Modules

Modules running in the period selected: 55.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Bachelor's degree in Economics and Commerce (Verona) Advanced Excel Laboratory (Verona) (2018/2019)   3  eLearning
Bachelor's degree in Economics and Commerce (Vicenza) Advanced Excel Laboratory (Vicenza) (2018/2019)   3  eLearning
Bachelor's degree in Economics and Commerce (Verona) Data Visualization Laboratory (2018/2019)   3  eLearning
Bachelor's degree in Economics and Commerce (Verona) Excel Laboratory (Verona) (2018/2019)   3  eLearning
Bachelor's degree in Economics and Commerce (Vicenza) Excel Laboratory (Vicenza) (2018/2019)   3  eLearning
Master’s degree in Economics Python Laboratory (2018/2019)   3  eLearning
Bachelor's degree in Economics and Commerce (Verona) Statistics (2018/2019)   9  eLearning
Master’s degree in Banking and Finance Stochastic Models for Finance (2018/2019)   9  eLearning
Bachelor's degree in Economics and Commerce (Verona) Advanced Excel Laboratory (Verona) (2017/2018)   3  eLearning  
Bachelor's degree in Economics and Commerce (Vicenza) Advanced Excel Laboratory (Vicenza) (2017/2018)   3  eLearning  
Bachelor's degree in Economics and Commerce (Verona) Excel Laboratory (Verona) (2017/2018)   3  eLearning  
Bachelor's degree in Economics and Commerce (Vicenza) Excel Laboratory (Vicenza) (2017/2018)   3  eLearning  
PhD in Economics and Management Probability (2017/2018)   7.5  eLearning
Master’s degree in Economics Python Laboratory (2017/2018)   3  eLearning  
Bachelor's degree in Economics and Commerce (Verona) Statistics (2017/2018)   9  eLearning
Master’s degree in Banking and Finance Stochastic Models for Finance (2017/2018)   9  eLearning
PhD in Economics and Management Attività didattica dottorato (2017/2018)   10   
Bachelor's degree in Economics and Commerce (Verona) Advanced Excel Laboratory (Verona) (2016/2017)   3  eLearning
Bachelor's degree in Economics and Commerce (Vicenza) Advanced Excel Laboratory (Vicenza) (2016/2017)   3  eLearning
Bachelor's degree in Economics and Commerce (Verona) Excel Laboratory (Verona) (2016/2017)   3  eLearning
Bachelor's degree in Economics and Commerce (Vicenza) Excel Laboratory (Vicenza) (2016/2017)   3  eLearning
Bachelor's degree in Economics and Commerce (Verona) Statistics (2016/2017)   9  eLearning (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2016/2017)   9  eLearning
Bachelor's degree in Economics and Commerce (Verona) Advanced Excel Laboratory (Verona) (2015/2016)   3  eLearning
Bachelor's degree in Economics and Commerce (Vicenza) Advanced Excel Laboratory (Vicenza) (2015/2016)   3  eLearning
Bachelor's degree in Economics and Commerce (Verona) Laboratory Excel (2015/2016)   3  eLearning
Bachelor's degree in Economics and Commerce (Vicenza) Laboratory Excel (2015/2016)   3  eLearning
Bachelor's degree in Economics and Commerce (Verona) Statistics (2015/2016)   9  eLearning (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2015/2016)   9  eLearning
Bachelor's degree in Economics and Commerce (Verona) Laboratory Excel (2014/2015)   3  eLearning
Bachelor's degree in Economics and Commerce (Verona) Statistics (2014/2015)   9  eLearning (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2014/2015)   9  eLearning
Bachelor's degree in Economics and Commerce (Verona) Statistics (2013/2014)   9  eLearning (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2013/2014)   9  eLearning
Bachelor's degree in Economics and Commerce (Verona) Statistics (2012/2013)   9  eLearning (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2012/2013)   9  eLearning
Bachelor's degree in Economics and Commerce (Verona) Statistics (2011/2012)   9  eLearning (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2011/2012)   9  eLearning
Specialisation course in Retail Management Metodi statistici per la gestione del punto vendita [CInt] (2011/2012)   1.5    1.5 
Bachelor's degree in Business Administration (Vicenza) Statistics (2010/2011)   9  eLearning (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2010/2011)   9  eLearning
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2009/2010)   10  eLearning (1 - lezione)
Specialisation course in Retail Management Metodi statistici per la gestione del punto vendita (2009/2010)   1   
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2008/2009)   10  eLearning 1 - lezione
Master's degree in Quantitative Methods for Finance (until 2008-2009) Stochastic models for finance and insurance (2008/2009)   10  eLearning 1 - lezione
2 - esercitazione
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2007/2008)   10    Lezione
Master's degree in Quantitative Methods for Finance (until 2008-2009) Stochastic models for finance and insurance (2007/2008)   10    Lezione
Esercitazione
Degree in Economics and Service Industry Management (Cat. 17) (until 2008-2009) Introduction to statistics (2006/2007)   10    lezione
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2006/2007)   10    lezione 1
esercitazione
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2005/2006)   10     
Bachelor's degree in International Business Studies (category 17) (Vicenza) Market Analysis (in Vicenza) (2005/2006)   4     
Bachelor's degree in International Business Studies (category 17) (Vicenza) Statistics (2003/2004)   6     

Advanced teaching activities
Name Online
Probability (28° Ciclo - GSEM - PhD in Economics and Business Administration (last activated in 2013)) eLearning
Probability (34° ciclo - PhD in Economics and Management)
Probability (33° ciclo - PhD in Economics and Management)
Probability (32° Ciclo - PhD in Economics and Management)
Probability and Statistics for Economics and Finance (26° Ciclo - PhD in Economics and Finance (last intake in 2013))
Probability and Statistics for Economics and Finance (25° Ciclo - PhD in Economics and Finance (last intake in 2013))
 
Skills
Topic Description Research area
JEL C13 - Estimation: General Development and estimation of statistical models in finance, and for economic and social data; computationally intensive Monte Carlo estimation algorithms such as Monte Carlo EM and sequential Monte Carlo. Metodi quantitativi per l’economia
Mathematical and Quantitative Methods C1-C6,C8 - Econometric and Statistical Methods and Methodology: General
JEL C15 - Statistical Simulation Methods: General Computer intensive estimation methods based on Monte Carlo simulations, bootstrap and indirect inference. Also includes machine learning, and development of statistical software for the analysis of economic phenomena. Metodi quantitativi per l’economia
Mathematical and Quantitative Methods C1-C6,C8 - Econometric and Statistical Methods and Methodology: General
MSC 62H11 - Directional data; spatial statistics Modelling and analysis (data science) of areal and georeferenced data, both univariate and multivariate, with the use of Gaussian and non-Gaussian models (for discrete or skewed data, etc.); development of spatial models with latent factors; modelling of directional data. Metodi quantitativi per l’economia
Statistics - Multivariate analysis
MSC 62M10 - Time series, auto-correlation, regression, etc. Modelling and analysis (data science) of univariate and multivariate time series, equally or unequally spaced, including the use of models with latent factors and for skewed data; machine learning methods for the analysis of large collections of time series. Metodi quantitativi per l’economia
Statistics - Inference from stochastic processes
MSC 62M20 - Prediction; filtering Forecasting and filtering techniques of the signal such as, for instance, the Kalman filter; prediction, smoothing and filtering techniques based on Monte Carlo simulation, such as particle filtering and sequential Monte Carlo. Metodi quantitativi per l’economia
Statistics - Inference from stochastic processes
MSC 62P05 - Applications to actuarial sciences and financial mathematics Risk modelling in insurance and finance, in particular credit risk with the development of credit scoring models and algorithms; calibration of the probabilities of defaults; market segmentation. Metodi quantitativi per l’economia
Statistics - Applications
MSC 65C05 - Monte Carlo methods Monte Carlo methods for estimating and predicting dynamic models, such as Markov chain Monte Carlo, particle filters and sequential Monte Carlo. Applications of these methods to economic and financial field. In particular, applications for the numerical solution of stochastic differential equations forward-backward. Also covers Longstaff-Schwartz regression methods for the solution of Snell envelopes and applications in the counterparty risk field. Metodi quantitativi per l’economia
Numerical analysis - Probabilistic methods, simulation and stochastic differential equations
MSC 91G70 - Statistical methods, econometrics Statistical and econometric methods for the analysis and modelling (data science) of economic and social data; machine learning techniques for the analysis of large data bases; development of statistical software. Finanza quantitativa
Game theory, economics, social and behavioral sciences 91G - Mathematical finance
Projects
Title Starting date
FAIR-PLAY: studio e sviluppo di nuovi servizi e modelli di marketing 4.0 in ambiente fieristico - Studio e progettazione di strategie per l'analisi di Big Data e realizzazione di modelli di business per la profilazione di eventi fieristici 10/15/18
Management Journal Relevance 1/1/15
Assegno: Tecniche di inferenza Monte Carlo basate sulla verosimiglianza per modelli gerarchici per dati geostatistici multivariati non gaussiani 4/1/12
Analisi e modellizzazione di fenomeni spaziali di particolare interesse per il territorio vicentino 7/1/10
Monte Carlo maximum likelihood for high dimensional dependency models with latent components or measurement errors 3/22/10
Multivariate model-based geostatistics 2/1/10




Chairperson

Marco Minozzo
Office Collegial Body
Teaching Staff Body for the Doctorate in international research in Economics and Finance
Collegio didattico di Banca e finanza - Department Economics
president Collegio didattico di Economia e commercio (Verona) - Department Economics
Comitato scientifico del Corso di Perfezionamento in Scienze attuariali e risk management nelle imprese di assicurazione
component Consiglio dei Corsi di Laurea e Laurea Magistrale con sede a Verona
component Consiglio dei Corsi di Laurea e Laurea Magistrale con sede a Vicenza/Consiglio Didattico del Polo Scientifico Didattico di "Studi sull'Impresa"
component Economics Department Council - Department Economics
Personale Docente del Dipartimento di Scienze Economiche
component Team per l'assicurazione della qualità del CDL in Economia e Commercio Verona - Department Economics