*On behalf of the Director of the Department of Statistical Sciences of the University of Padua:*
SAVE THE DATE!
*International conference “Statistical Methods and Models for Complex Data”* , *21-23 September 2022, Padova, Italy*
The Department of Statistical Sciences of the University of Padova is organizing the international conference: “Statistical Methods and Models for Complex Data”. The conference will be held in Padova, Italy on 21-23 September 2022.
The event is organized on the occasion of the 800th anniversary of the University of Padua and the last year of the excellence project of our department.
The scientific program will include plenary sessions, with 45 minutes invited presentations from internationally recognized experts, followed by 25 minutes for interventions of two main discussants and informal moments of discussion and interaction between the participants.
Participation of senior and young scientists involved in the developments of statistical methods and tools for complex data is strongly encouraged.
The scientific program of the conference is available on the website *http://800years.stat.unipd.it http://800years.stat.unipd.it*.
For further information, please contact: 800years@stat.unipd.it
Annual meeting of the *Italian Association for Mathematics Applied to Social and Economic Sciences* (*AMASES*) – Palermo, Sept. 22-24, 2022 [*https://amases2022.community.unipa.it/home https://amases2022.community.unipa.it/home*]
*Call for Contribution* *Special session on: INTELLIGENT METHODS IN ECONOMICS, FINANCE AND INSURANCE*
*Call* We warmly invite you to submit a contribution to the special session on INTELLIGENT METHODS IN ECONOMICS, FINANCE AND INSURANCE at the AMASES2022 conference.
*Topics of interest* Example of topics are (but not limited to): - DECISION TREES METHODS for: Asset pricing; Credit risk analysis; Decision making; Financial trading. - FUZZY LOGIC for: Financial modeling; Optimization in economics, finance and insurance. - HEURISTICS AND METAHEURISTICS for: Complex portfolio selection; Optimization in economics, finance and insurance. - SUPERVISED MACHINE LEARNING methods for: Asset pricing; Financial forecasts; Market sentiment analysis; Ranking and rating; Volatility estimation. - REINFORCEMENT LEARNING METHODS for: Derivative pricing and hedging; Financial Trading; Portfolio management. - VECTOR SUPPORT MACHINES for: Classification; Financial forecasts; Financial trading.
*Submission* - Please, submit an extended abstract not exceeding 2,000 characters (spaces included) in PDF format by June 13, 2022. The abstract should be written in English. - Please, to submit the abstract follow the link https://easychair.org/conferences/?conf=amases2022
*Deadlines* - Submission: June 13, 2022 - Acceptance: June 27, 2022
*Contacts* - Joseph Andria (joseph.andria@unipa.it): Università degli Studi di Palermo, Dipartimento di Scienze Economiche, Aziendali e Statistiche. - Marco Corazza (corazza@unive.it): Ca’ Foscari University of Venice, Department of Economics. - Giacomo di Tollo (giacomo.ditollo@unisannio.it): Università degli Studi del Sannio, Department of Law, Economics, Management and Quantitative Methods.