Incorporating Functional covariates into nonparametric regression models

• Grant number: 17/15306-9
• Support Opportunities: Regular Research Grants
• Start date: November 01, 2017
• End date: October 31, 2019
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Statistics
• Principal Investigator: Nancy Lopes Garcia
• Grantee: Nancy Lopes Garcia
• Host Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• City of the host institution: Campinas
• Associated researchers: Mariana Rodrigues Motta ; Ronaldo Dias
• Associated research grant(s): 19/00787-7 - Functional covariates: statistical modeling and software development for energy consumption data, AP.R SPRINT

Abstract

In this work we propose to study regression models where the response variable can be either scalar or functional, but the covariates include both scalar and functional variables. In the literature, only linear additive models are considered. Our proposal is to address non-linear additive models. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

GARCIA, NANCY L.; GUTTORP, PETER; LUDWIG, GUILHERME. Interacting cluster point process model for epidermal nerve fibers. SPATIAL STATISTICS, v. 35, MAR 2020. (14/26419-0, 16/09390-4, 18/09877-6, 17/15306-9)

ZAMBOM, ADRIANO ZANIN; ALFONSO COLLAZOS, JULIAN; DIAS, RONALDO. Selection of the number of clusters in functional data analysis. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v. 92, n. 14, p. 19-pg., 2022-03-23. (19/04535-2, 17/15306-9, 18/04654-9)