Germany
New
Basic Course Offering (Virtual, Group Format):
Standard fees : 780 Euros
Discounted fees (Participants from M&S Research Hub list of developing countries): 420 Euros
Early-bird discount (1 Month in advance): 20% discount
This intensive 3-day course introduces finite mixture models and their applications across fields such as biostatistics, finance, and social sciences. Participants will learn the fundamental theory and estimation techniques for mixture models, with an emphasis on practical aspects and real-world case studies. Topics will cover classification methods, identification of latent populations, and applications using skewed-normal distributions.
Here’s a summary of its main uses and applications:
Day 1: Introduction to Finite Mixture Models, Fundamental Concepts, and Maximum Likelihood Estimation
Day 2: Practical Applications and Identification of Heterogeneous Populations
Day 3: Extension to Skewed-Normal Distributions and Structural Break Detection
Marco Forti completed his Bachelor and Master studies in Economics at the University of Rome “La Sapienza,” in Italy, where he also received his Ph.D. in Statistics in 2022. He also worked in several public and private institutions and research centers as SviMez, Agenas (Italian Ministry of Health), CER, KPMG international, Deloitte, etc., leading theoretical and applied research in the fields of statistics, economics, policy evaluation, epidemiology, and data management.
Financial Analysts and Economists
Professionals who analyze financial or economic data with the goal of identifying underlying risk or behavioral segments and detecting shifts in data trends.
Scholars in fields such as economics, social sciences, and biomedical research who seek to model diverse populations or identify structural breaks in time series data.
Professionals in various industries who handle large datasets and need to identify and analyze hidden patterns within heterogeneous data.
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