Mathematical and Statistical Methods for Actuarial Sciences and Finance

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conference MAF and guest editor of the associated international journals; and since 2006, she has been an Editor of the Springer books MAF. Her research work mainly focuses on nonlinear 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 the national and international levels, and she has been a member of several scientific committees of national and international conferences.

Claudio Pizzi is an associate professor at the Department of Economics of the Ca' Foscari University of Venice, where he teaches statistical methods for financial and monetary markets and business statistics. His research is focused mainly on statistical analysis of financial time series, linear and nonlinear models for time series, technical analysis, trading system models, bioinspired metaheuristics for optimization, and systemic risk. Hehas participated in both national and international research projects. He is a member of the editorial board of "Statistical Method and Applications".

Marilena Sibillo is a full professor of Mathematical Methods for Economics, Finance and Actuarial Sciences at the University of Salerno and is currently a contract professor of Financial Mathematics in the 2020/2021 academic year at Luiss University in Rome. In 2012, she was awarded a Highly Commended Award Winner at the Literati Network Awards for Excellence, and since 2013, she has been a Paul Harris Fellow. She had national and international awards related to teaching. Since 2006, she has been an editor of the Springer books MAF and Finance and a guest editor of international journals. Since 2004, she has been chair of the international conference MAF, and since 2016, she has been chair of the UNISActuarial School. She is an author of more than 100 papers mostly published in international journals and books. Her scienti