Sobre el Autor

Mikis D. Stasinopoulos is a prominent statistician known for his contributions to flexible regression and smoothing techniques, particularly through the use of Generalized Additive Models for Location Scale and Shape (GAMLSS) in R. His work has significantly impacted how statisticians approach modeling various forms of data, providing tools that enhance the flexibility and robustness of statistical methods. Stasinopoulos's books, including "Flexible Regression and Smoothing: Using GAMLSS in R," have become essential reading for those interested in advanced statistical modeling.