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Identifying Data 2021/22
Subject (*) Regression Models Code 614G02012
Study programme
Grao en Ciencia e Enxeñaría de Datos
Descriptors Cycle Period Year Type Credits
Graduate 1st four-month period
Second Obligatory 6
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Coordinador
Vilar Fernandez, Jose Antonio
E-mail
jose.vilarf@udc.es
Lecturers
Vilar Fernandez, Jose Antonio
Vilar Fernandez, Juan Manuel
E-mail
jose.vilarf@udc.es
juan.vilar@udc.es
Web
General description Estudo de modelos de regresión paramétricos e non paramétricos. No contexto paramétrico, abordanse procedementos de inferencia, diagnose e predición para o modelo lineal simple, o modelo lineal múltiple e o modelo loxístico. A modelización non paramétrica comprenderá a regresión tipo kernel e por splines, ademáis dunha introdución aos modelos de regresión parcialmente lineais e os modelos aditivos.
Contingency plan 1. Modifications to the contents 2. Methodologies *Teaching methodologies that are maintained *Teaching methodologies that are modified 3. Mechanisms for personalized attention to students 4. Modifications in the evaluation *Evaluation observations: 5. Modifications to the bibliography or webgraphy
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.