| Grant number: | 14/11831-3 |
| Support Opportunities: | Research Grants - Visiting Researcher Grant - International |
| Start date: | September 01, 2014 |
| End date: | October 31, 2014 |
| Field of knowledge: | Physical Sciences and Mathematics - Probability and Statistics - Statistics |
| Principal Investigator: | Víctor Hugo Lachos Dávila |
| Grantee: | Víctor Hugo Lachos Dávila |
| Visiting researcher: | Jacek Leskow |
| Visiting researcher institution: | Wroclaw University of Technology, Poland |
| Host Institution: | Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
Abstract
In recent years, the analysis of survival data, time series data or heavy tailed data can be significantly improved with the techniques based on resampling. In each category of the modelling problems a fundamental question is to be able to better study the finite-sample distributions of the introduced estimators. In the following description of research activities, three very popular models will be considered: a point process nonparametric model for survival data, time series model for no stationary signals an inferential models for heavy tailed distributions. (AU)
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