Foundation courses

Functional Analysis (A. Cesaroni), October-November 2018

Probability Theory (A. Bianchi, G. Callegaro, M. Formentin), November-December 2018-January 2019

Theory and Methods of Inference (A. Salvan), February-June 2019

Statistical Models (L. Bisaglia)

• Spatial Statistics (C. Gaetan, Univ. Venezia), February-May 2019
  
• Generalized Linear Mixed Models (N.Torelli, Univ. Trieste), March-May 2019
• Time Series Analysis (L. Bisaglia), February-June 2019
• Applied Multivariate Techniques (M. Chiogna, Univ. Bologna), November-December 2018

Specialist courses (planning in progress)

Programming with Python (L. Di Gaspero, Univ. Udine), November 2018

Propensity Score Methods: Theory and Applications (B. Arpino, Univ. Pompeu Fabra, Barcelona), December 2018

Sampling Theory (P.F. Perri, Univ. della Calabria), February 2019

Bayesian Data Analysis and Computation (B. Liseo e A. Tancredi, Sapienza Univ. Roma), May 2019

Population Modeling (S. Mazzuco, Univ. Padova), May-June 2019

Kalman Filter and State Space Models (S.J. Koopman, VU University, Amsterdam, NL), July 2019 

Linear Algebra over the Integers, with Connections to Some Classic Mathematical Puzzles (G. Abrams, Univ. of Colorado, USA), September 2019

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

Further activities

Library Labs (Leaflet 2019)

• First module: How to do bibliographic research in our University 1. Services and resources. 2. AIRE portal: databases by topics.
• Second module: Bibliography and Plagiarism 1.  Bibliographic citations and citation styles. Plagiarism. 2.  Reference management: introduction to Mendeley. Integration with LaTeX.
• Third module: Bibliometrics and academic publishing  1.   Introduction to bibliometrics. Academic publishing  2.   Padua Research Archive (PRA) the institutional repository for academic research.
• Fourth module: Open Science and PhD thesis   3.  Open Science and data management  4.  Management of PhD theses. Institutional repositories for the outputs of research.

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