Nome Maestrini Luca

Ciclo Ordinamento:

31

Cycle:

XXXI

Qualification

Dottore di ricerca

At the

Department of Statistical Sciences University of Padua

Research Fellows:

no

Contacts (room / phone):

Studio 130 - Telefono: 049 827 4174

Email:

myname.mysurname@phd.unipd.it (replace "myname" with my name and "mysurname" with my surname)

Years of study:

2015 - 2018

Supervisor:

Nicola Sartori

Co-supervisor:

Alessandra Salvan

Education:

October 2015 – Today: Ph.D. Student in Statistical Sciences (XXXI cycle), Università degli Studi di Padova, Department of Statistical Sciences

,

October 2013 – September 2015: Master Degree in Industrial Engineering and Management, Politecnico di Milano, 110/110 cum Laude

,

September 2010 – July 2013: Bachelor Degree in Industrial Engineering and Management, Politecnico di Milano, 110/110 cum Laude

Research:

Variational approximations

Study visits:

April 2017 – November 2017 and January 2018 – June 2018<strong;>: Visiting scholar, University of Technology Sydney, School of Mathematical and Physical Sciences; supervised by Prof. Matt Wand

,

March 2015: Visiting student at Universidad Politecnica de Madrid, Athens Programme (Non-linear mathematical Models and Applications)

,

August 2014 – January 2015: Visiting student at Kungliga Tekniska Högskolan, Stockholm, Erasmus Programme

Thesis:

M. Sc. Thesis: "Pairs Trading: A New Approach Based On The Beveridge-Nelson Decomposition". Supervisor: Prof. Rocco Roberto Mosconi

PhD Thesis Title:

"On Variational Approximations for Frequentist and Bayesian Inference"

Publications:

Maestrini, L. and Wand, M. P. (2018). "Variational Message Passing for Skew t Regression". Stat, 7, xxx – xxx (page numbers pending).

Current Position:

Postdoctoral Research Fellow, School of Mathematical and Physical Sciences, University of Technology Sydney

allegato:
4074