Modelos aditivos generalizados

• Grant number: 12/05023-6
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2012
• End date: July 31, 2013
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Statistics
• Principal Investigator: Gisela Tunes da Silva
• Grantee: Louise Rossi Rasteiro
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

A Generalized Additive Model (GAM) is a Generalized Linear Model in which the linearity in the linear predictor is relaxed; it is specified in terms of a sum of smooth functions of predictor variables. Various techniques can be employed for actually fitting a generalized additive model, such as the back fitting. Another approach that for fitting a GAM is by using regression splines and a penalized likelihood to obtain estimates. In this project, GAM based on regression splines will be considered as well as applications to real data analysis.(AU)