Educational offer

All teaching activities (foundation and specialist courses) are mandatory for first year students. 

Foundation courses

Functional Analysis (A. Cesaroni), October-November 2022

Probability Theory (S. Pagliarani, Univ. of Bologna), October-December 2022

Programming Methodologies for Data Analysis (L. Di Gaspero, K. Roitero, Univ. Udine), November-December 2022

Statistical Models (C. Gaetan, Univ. Ca' Foscari Venezia - M. Bernardi, S. Mazzuco, D. Risso and B. Scarpa), February-May 2023

Theory and Methods of Inference (A. Salvan, N. Sartori and L. Pace), March-May 2023

Specialist courses (planning in progress)

Several specialist courses are planned every year. Some of them are taught by guest instructors.

Introduction to Basic Concepts of Robustness (A. H. Welsh, The Australian National University), December 2022

Applied Multivariate Techniques (L. Finos), January-February 2023

Sampling Theory (P.F. Perri, Univ. della Calabria), February 2023

Some practical computational aspects of non-parametric regression (I. Prosdocimi, Univ. Ca' Foscari Venezia), March 2023

Tools and best practices for R package development (D. Righelli), May 2023 (Link to the material, including slides and recording of the presentation)  

Bayesian Data Analysis and Computation (B. Liseo e A. Tancredi, Sapienza Univ. Roma), June 2023

Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), June 2023

Introduction to Bayesian Nonparametrics: Theory and Computations (A. Canale), July 2023

Further activities

Library courses (leaflet 2022, Calendar, Welcome PhD Student 2022)

• First module: How to do bibliographic research in our University 1. Services and resources. 2. Databases by topics.
• Second module: Bibliography and Plagiarism 1.  Bibliographic citations and citation styles. Plagiarism. 2.  Reference management: introduction to Zotero. Integration with LaTeX.
• Third module: Academic publishing and Open Access 1.   Introduction to bibliometry. 2. Open Science and data management.

More information about Scholarly Communication and principles of Open Science please see libraries Moodle: https://elearning.unipd.it/sba/course/view.php?id=21 

Anyone interested in the program is invited to contact <phd@stat.unipd.it>

Introduction to Basic Concepts of Robustness