Marco Minozzo

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Marco, December 11, 2006
Position
Associate Professor
Academic sector
STAT-01/A - Statistics
Research sector (ERC-2024)
PE1_15 - Generic statistical methodology and modelling

PE1_13 - Probability

Research sector (ERC)
PE1_13 - Probability

PE1_14 - Statistics

Office
Polo Santa Marta,  Floor 1,  Room 1.33
Telephone
045 802 8234
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,   Polo 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: 145.
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 Business Advanced Excel Laboratory (Verona) (2024/2025)   3    3 
Bachelor's degree in Economics, Firms and International Markets Advanced Excel Laboratory (Vicenza) (2024/2025)   3    3 
Bachelor's degree in Economics and Business Data Analysis Laboratory with R (Verona) (2024/2025)   3    3 
Bachelor's degree in Economics, Firms and International Markets Data Analysis Laboratory with R (Vicenza) (2024/2025)   3    3 
Master’s degree in Banking and Finance Data Science Laboratory with SAP (2024/2025)   3    3 
Bachelor's degree in Economics and Business Data Visualization Laboratory (2024/2025)   3    3 
Bachelor's degree in Economics and Business English for Business and Economics - Bachelor's Degrees (2024/2025)   3    3 
Bachelor's degree in Economics and Business Excel Laboratory (Verona) (2024/2025)   3    3 
Bachelor's degree in Economics, Firms and International Markets Excel Laboratory (Vicenza) (2024/2025)   3    3 
Scuola di Dottorato Introduction to Probability (module II) (2024/2025)   1    1 
Scuola di Dottorato Introduction to Statistical Inference (2024/2025)   1    1 
Ph.D. in Economics and Finance Probability (2024/2025)   7.5    7.5 
Master’s degree in Banking and Finance Programming in Matlab (2024/2025)   3    3 
Master’s degree in Banking and Finance Programming in SAS (2024/2025)   3    3 
Bachelor's degree in Economics and Business Python Laboratory (2024/2025)   3    3 
Bachelor's degree in Economics and Business Statistics (2024/2025)   9    7 
Master’s degree in Banking and Finance Stochastic Models for Finance (2024/2025)   9    9 
Bachelor's degree in Economics and Business Advanced Excel Laboratory (Verona) (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Advanced Excel Laboratory (Vicenza) (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics and Business Data Analysis Laboratory with R (Verona) (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Data Analysis Laboratory with R (Vicenza) (2023/2024)   3  eLearning 3 
Master’s degree in Banking and Finance Data Science Laboratory with SAP (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics and Business Data Visualization Laboratory (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics and Business English for Business and Economics - Bachelor's Degrees (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics and Business Excel Laboratory (Verona) (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Excel Laboratory (Vicenza) (2023/2024)   3  eLearning 3 
Scuola di Dottorato INTRODUCTION TO PROBABILITY (MODULE I) (2023/2024)   1  eLearning 1 
Scuola di Dottorato INTRODUCTION TO PROBABILITY (MODULE II) (2023/2024)   1    1 
Scuola di Dottorato INTRODUCTION TO STATISTICAL INFERENCE (2023/2024)   1  eLearning 1 
Ph.D. in Economics and Finance Probability (2023/2024)   7.5  eLearning 7.5 
Master’s degree in Banking and Finance Programming in Matlab (2023/2024)   3  eLearning 3 
Master’s degree in Banking and Finance Programming in SAS (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics and Business Python Laboratory (2023/2024)   3  eLearning 3 
Bachelor's degree in Economics and Business Statistics (2023/2024)   9  eLearning 7 
Master’s degree in Banking and Finance Stochastic Models for Finance (2023/2024)   9  eLearning 9 
Bachelor's degree in Economics and Business Advanced Excel Laboratory (Verona) (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Advanced Excel Laboratory (Vicenza) (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics and Business Data Analysis Laboratory with R (Verona) (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Data Analysis Laboratory with R (Vicenza) (2022/2023)   3  eLearning 3 
Master’s degree in Banking and Finance Data Science Laboratory with SAP (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics and Business Data Visualization Laboratory (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics and Business Economic Thinking and Thesis Writing (2022/2023)   2  eLearning 2 
Bachelor's degree in Economics and Business English for Business and Economics - Bachelor's Degrees (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics and Business Excel Laboratory (Verona) (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Excel Laboratory (Vicenza) (2022/2023)   3  eLearning 3 
Ph.D. in Economics and Finance Introduction to Probability – Module I (2022/2023)   2  eLearning  
Ph.D. in Economics and Finance Introduction to Statistical Inference (2022/2023)   2  eLearning 2 
Ph.D. in Economics and Finance Probability (2022/2023)   7.5  eLearning 7.5 
Master’s degree in Banking and Finance Programming in Mathlab (2022/2023)   3  eLearning 3 
Master’s degree in Banking and Finance Programming in SAS (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics and Business Python Laboratory (2022/2023)   3  eLearning 3 
Bachelor's degree in Economics and Business Statistics (2022/2023)   9  eLearning 7 
Master’s degree in Banking and Finance Stochastic Models for Finance (2022/2023)   9  eLearning 9 
Bachelor's degree in Economics and Business Advanced Excel Laboratory (Verona) (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Advanced Excel Laboratory (Vicenza) (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics and Business Data Analysis Laboratory with R (Verona) (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Data Analysis Laboratory with R (Vicenza) (2021/2022)   3  eLearning 3 
Master’s degree in Banking and Finance Data Science Laboratory with SAP (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics and Business Data Visualization Laboratory (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics and Business English for Business and Economics - Bachelor's Degrees (2021/2022)   3  eLearning  
Bachelor's degree in Economics and Business Excel Laboratory (Verona) (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Excel Laboratory (Vicenza) (2021/2022)   3  eLearning 3 
Master’s degree in Banking and Finance Programming in Matlab (2021/2022)   3  eLearning 3 
Master’s degree in Banking and Finance Programming in SAS (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics and Business Python Laboratory (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics and Business Samsung Innovation Camp (2021/2022)   3  eLearning 3 
Bachelor's degree in Economics and Business Statistics (2021/2022)   9  eLearning 7 
Master’s degree in Banking and Finance Stochastic Models for Finance (2021/2022)   9  eLearning 9 
Bachelor's degree in Economics and Business Advanced Excel Laboratory (Verona) (2020/2021)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Advanced Excel Laboratory (Vicenza) (2020/2021)   3  eLearning 3 
Bachelor's degree in Economics and Business Data Analysis Laboratory with R (Verona) (2020/2021)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Data Analysis Laboratory with R (Vicenza) (2020/2021)   3  eLearning 3 
Master’s degree in Banking and Finance Data Science Laboratory with SAP (2020/2021)   3  eLearning 3 
Bachelor's degree in Economics and Business Data Visualization Laboratory (2020/2021)   3  eLearning 3 
Bachelor's degree in Economics and Business Excel Laboratory (Verona) (2020/2021)   3  eLearning 3 
Bachelor's degree in Economics, Firms and International Markets Excel Laboratory (Vicenza) (2020/2021)   3  eLearning 3 
PhD in Economics and Management Probability (2020/2021)   7.5  eLearning 7.5 
Master’s degree in Banking and Finance Programming in Matlab (2020/2021)   3  eLearning 3 
Master’s degree in Banking and Finance Programming in SAS (2020/2021)   3  eLearning 3 
Bachelor's degree in Economics and Business Python Laboratory (2020/2021)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Statistics (2020/2021)   9  eLearning 7 
Master’s degree in Banking and Finance Stochastic Models for Finance (2020/2021)   9  eLearning 8 
Bachelor's degree in Economics and Business (Verona) Advanced Excel Laboratory (Verona) (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Vicenza) Advanced Excel Laboratory (Vicenza) (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Data Analysis Laboratory with R (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Data Analysis Laboratory with R (Verona) (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Vicenza) Data Analysis Laboratory with R (Vicenza) (2019/2020)   3  eLearning 3 
Master’s degree in Banking and Finance Data Science Laboratory with SAP (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Data Visualization Laboratory (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Excel Laboratory (Verona) (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Vicenza) Excel Laboratory (Vicenza) (2019/2020)   3  eLearning 3 
PhD in Economics and Management Probability (2019/2020)   7.5  eLearning 7.5 
Master’s degree in Banking and Finance Programming in Matlab (2019/2020)   3  eLearning 3 
Master’s degree in Banking and Finance Programming in SAS (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Python Laboratory (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Samsung Innovation Camp (2019/2020)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Statistics (2019/2020)   9  eLearning 7 
Master’s degree in Banking and Finance Stochastic Models for Finance (2019/2020)   9  eLearning 8 
Bachelor's degree in Economics and Business (Verona) Advanced Excel Laboratory (Verona) (2018/2019)   3  eLearning 3 
Bachelor's degree in Economics and Business (Vicenza) Advanced Excel Laboratory (Vicenza) (2018/2019)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Data Visualization Laboratory (2018/2019)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Excel Laboratory (Verona) (2018/2019)   3  eLearning 3 
Bachelor's degree in Economics and Business (Vicenza) Excel Laboratory (Vicenza) (2018/2019)   3  eLearning 3 
Master’s degree in Economics Python Laboratory (2018/2019)   3  eLearning 3 
Bachelor's degree in Economics and Business (Verona) Statistics (2018/2019)   9  eLearning 7 
Master’s degree in Banking and Finance Stochastic Models for Finance (2018/2019)   9  eLearning 8 
PhD in Economics and Management Lezioni Dottorandi (2017/2018)   10    1 
PhD in Economics and Management Probability (2017/2018)   7.5  eLearning 1 
Master’s degree in Economics Python Laboratory (2017/2018)   3  eLearning  
Bachelor's degree in Economics and Business (Verona) Statistics (2017/2018)   9  eLearning 7 
Master’s degree in Banking and Finance Stochastic Models for Finance (2017/2018)   9  eLearning 8 
Bachelor's degree in Economics and Business (Verona) Statistics (2016/2017)   9  eLearning 7  (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2016/2017)   9  eLearning 8 
Bachelor's degree in Economics and Business (Verona) Advanced Excel Laboratory (Verona) (2015/2016)   3    3 
Bachelor's degree in Economics and Business (Vicenza) Advanced Excel Laboratory (Vicenza) (2015/2016)   3    3 
Bachelor's degree in Economics and Business (Verona) Laboratory Excel (2015/2016)   3    3 
Bachelor's degree in Economics and Business (Vicenza) Laboratory Excel (2015/2016)   3    3 
Bachelor's degree in Economics and Business (Verona) Statistics (2015/2016)   9    7  (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2015/2016)   9    8 
Bachelor's degree in Economics and Business (Verona) Laboratory Excel (2014/2015)   3    3 
Bachelor's degree in Economics and Business (Verona) Statistics (2014/2015)   9    7  (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2014/2015)   9    9 
Bachelor's degree in Economics and Business (Verona) Statistics (2013/2014)   9    7  (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2013/2014)   9    9 
Bachelor's degree in Economics and Business (Verona) Statistics (2012/2013)   9    7  (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2012/2013)   9    9 
Bachelor's degree in Economics and Business (Verona) Statistics (2011/2012)   9    7  (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2011/2012)   9    9 
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    7  (lezione)
Master’s degree in Banking and Finance Stochastic Models for Finance (2010/2011)   9    9 
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2009/2010)   10    8  (1 - lezione)
Specialisation course in Retail Management Metodi statistici per la gestione del punto vendita (2009/2010)   1    1 
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2008/2009)   10    8  1 - lezione
Master's degree in Quantitative Methods for Finance (until 2008-2009) Stochastic models for finance and insurance (2008/2009)   10    2  2 - esercitazione
8  1 - lezione
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2007/2008)   10    8  Lezione
Master's degree in Quantitative Methods for Finance (until 2008-2009) Stochastic models for finance and insurance (2007/2008)   10    2  Esercitazione
8  Lezione
Degree in International Business Studies (Vicenza) (until 2008-2009) Introduction to statistics (2006/2007)   10    6  lezione 1
3  esercitazione
Degree in Economics and Service Industry Management (Cat. 17) (until 2008-2009) Introduction to statistics (2006/2007)   10    6  lezione
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 (36° ciclo - PhD in Economics and Management)

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Research interests
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
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. Quantitative Methods for Economics
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. Quantitative Finance
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



Chair
Referent posts held
Incaricato AQ Didattica - Economics
Istitutional duties

Marco Minozzo
Office Collegial Body
Collegio didattico di Banca e finanza - Department Economics
Presidente Collegio didattico di Economia e commercio - Department Economics
Comitato scientifico del Corso di Perfezionamento in Scienze attuariali e risk management nelle imprese di assicurazione
Incaricato AQ Didattica Commissione Didattica di Ateneo
member Consiglio dei Corsi di Laurea e Laurea Magistrale con sede a Verona
member Consiglio dei Corsi di Laurea e Laurea Magistrale con sede a Vicenza/Consiglio Didattico del Polo Scientifico Didattico di "Studi sull'Impresa"
member Economics Department Council - Department Economics
Consiglio della Scuola di Economia e Management
Gruppo AQ del Corso di laurea in Economia e commercio - Collegio didattico di Economia e commercio - Department Economics
member Team per l'assicurazione della qualità del CDL in Economia e Commercio Verona - Department Economics
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