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Semiparametric methods for inference of spatial and spatio-temporal stochastic processes

Grant number: 19/03517-0
Support type:Regular Research Grants
Duration: May 01, 2019 - April 30, 2020
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics
Principal Investigator:Guilherme Vieira Nunes Ludwig
Grantee:Guilherme Vieira Nunes Ludwig
Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Semiparametric models are frequently employed in spatial statistics, but the high dimensionality of data coming from scientific experiments is causing computational scalability problems to existing semiparametric methods. This project seeks to develop scalability solutions to three semiparametric methods -- namely, data fusion of spatio-temporal processes, esimation of nonstationary covariance functions via spatial deformations, and estimating equation approaches to spatial point processes. The project will also build software that implements the proposed techniques. (AU)