New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance

Michele La Rocca is a Full Professor of Statistics at the University of Salerno in Italy. His research areas include empirical likelihood, nonlinear time series, neural networks and deep learning, and resampling techniques, which he has applied to biological and financial data. A crucial aspect of his research is building bridges between data analysis, statistics, and machine learning methods. He is an elected member of ISI and the Charting Committee of the International Symposia on Nonparametric Statistics (ISNPS), an IMS group. He has served as Associate Editor of Computational Statistics and Data Analysis and is now Associate Editor of Statistical Methods and Applications, the journal of the Italian Statistical Society.

Massimiliano Menzietti is Associate Professor of Mathematical Methods for Economics, Finance and Actuarial Sciences at the Department of Economics and Statistics of the University of Salerno (Italy). He got a master degree (cum laude) in Economics at "LUISS - Guido Carli" University of Rome in 1995 and a PhD in Actuarial Science at "Sapienza" University of Rome in 2002.
His primary areas of research are: automatic balance mechanisms in PAYG pension systems; actuarial models for health insurance and health funds, modelling and management of
biometric risks (disability and longevity); pricing of mortality and longevity linked securities; solvency capital requirements for life insurance and pension funds.

Cira Perna is full professor of Statistics at the Department of Economics and Statistics of the University of Salerno (Italy). She was Head of the Department from 2009 to 2018, member of the
Board of Directors of the University of Salerno from 2018 to 2022, and elected member of the Steering committee of the Italian Statistical Society from 2018 to 2020. Since the first edition of the
Conference, in 2004, she is chair of the international conference MAF and guest editor of the associated international journals. Since 2006 she is Editor of the Springer books MAF. Her research
work mainly focuses on non-linear time series, artificial neural network models and resampling techniques. On these topics, she has published numerous papers in national and international
journals. She has participated in several research projects, both at national and international level and she has been a member of several scientific committees of national and international conferences.

Marilena Sibillo is full professor of Mathematical Methods for Economics, Finance and Actuarial Sciences at the University of Salerno and at present adjunct professor of Financial Mathematics at Luiss University in Rome. In 2012 she was awarded as Highly Commended Award Winner at the Literati Network Awards for Excellence and since 2013 she is a Paul Harris Fellow. She had national and international awards related to teaching. Since 2006 she is Editor of the Springer books MAF, and guest editor of international journals, since 2004 chair of the international conference MAF and since 2016 chair of the UNISActuarial School. She is author of more than 100 papers published in international journals and books. Her scientific activity mainly deals with Risk Theory, Analysis and control of the interactions between financial and demographic risks, Variable annuities, Stochastic mortality, Innovative pension contracts, Sustainability in insurance.