Dr Alessandro Cardinali
Profiles

Dr Alessandro Cardinali

Lecturer in Statistics

School of Computing, Electronics and Mathematics - Faculty of Science & Engineering (Faculties)

Qualifications

PhD in Quantitative Research Methods (University of Perugia) 

MSc in Statistics (University of Sheffield)

BSc (Laurea) in Economics (University of Perugia)

Professional membership

The Royal Statistical Society

Teaching interests

Computational statistics; 

Time series analysis; 

Quantitative finance.

Teaching Duties (* indicates modules for which I have been Module Leader)
 

Modules 2013 - 2014:


Time Series Analysis and Multivariate Statistics (STAT3401);

Introductory Statistics for the following modules: MBIO109, BIOL1006;

Introductory Statistics for the following module (Marine Biology): MBIO109.


Modules 2014 - 2015:

Time Series Analysis and Modelling (MATH3608*);

Engineering Statistics (STAT353);

Statistics for Extended Science (STAT008).




Modules 2015 - 2016:

Time Series Analysis and Modelling (MATH3608*);

Mathematical Methods II (MATH053);

Study and Mathematical Skills for Science (CMN004).




Modules 2016 - 2017:

Time Series Analysis and Modelling (MATH3608*);

Medical Statistics (MATH3614);

Data Mining and Algorithms (MATH057).







Research interests

Nonparametric statistics;

Time series analysis; 

Econometrics and financial econometrics.

Research groups

  • Centre for Mathematical Sciences (CMS)
  • Statistics

Reports & invited lectures

Invited Talks and Seminars


A. Cardinali (2012). Topics on Costationarity of Locally Stationary Time Series; Nuffield Econometric/INET Seminar, University of Oxford (UK);

A. Cardinali (2012). Local Covariance Estimation using Costationarity First Conference of the International Society of Nonparametric Statistics, Chalkidiki (GR).

Additional information