People

Dr Danilo Petti

Lecturer
School of Mathematics, Statistics and Actuarial Science (SMSAS)
Dr Danilo Petti

Profile

Biography

Danilo Petti undertook his undergraduate study in Economics at the University of Salerno to then continue with an MSc in Statistics and Actuarial Science (graduated in Sep. 2019, first of his court). In 2021 he graduated with an MSc in Statistics with Distinction at University College London to then complete a PhD in Statistics at the University of Salerno in 2023. During his doctoral years, he simultaneously followed and successfully completed the course in Advanced Statistics and Actuarial Science at the University of Florence. He is also a certified trainer (score 980/1000) of Statistical Analysis System (SAS). He is now interested in various research areas in statistical methodology and applications, including computational statistics, statistical learning methods, graphical models, causal inference, survival analysis and copula models.

Qualifications

  • BSc In Economics ( 110 cum Laude) University Of Salerno, (2017)

  • MSc in Statistics and Actuarial Science ( 110 cum Laude) University of Salerno, (2019)

  • MSc in Statistics (Distinction) University College London, (2021)

  • PhD in Statistics University of Salerno, (2023)

Appointments

University of Essex

  • Lecturer in Statistics and Data Science, Mathematical Science, University of Essex (16/1/2023 - present)

Other academic

  • SAS Trainer, Department of Economics and Statistical Science, University of Salerno (1/10/2020 - 15/12/2022)

Teaching and supervision

Current teaching responsibilities

  • Linear Regression Analysis (MA317)

  • Applied Statistics (MA321)

  • Capstone Project: Mathematics (MA829)

  • Capstone Project: Mathematics (MA830)

  • Capstone Project: Mathematics (MA831)

  • Advanced Capstone Project: Actuarial Science, Data Science or Mathematics (MA930)

Publications

Journal articles (1)

Petti, D., Eletti, A., Marra, G. and Radice, R., (2022). Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme. Computational Statistics & Data Analysis. 175, 107550-107550

Conferences (1)

Petti, D., Niglio, M. and Restaino, M., Variable Ranking In Bivariate Copula Survival Models

Contact

d.petti@essex.ac.uk
+44 (0) 1206 876292

Location:

2.410, Colchester Campus