CEAUL

Data Sciences for XXI Century

Por João Gama (INESC-Porto e Faculdade de Economia, Universidade do Porto).

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Linear Mixed Models Applied to Genetic Selection in Ancient Grapevine Varieties

Por Elsa Gonçalves (Instituto Superior de Agronomia da Universidade de Lisboa).

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Boot.EXPOS: Past, Present and Future

Por Clara Cordeiro (CEAUL & Departamento Matemática, FCT - Universidade do Algarve).

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Some (Statistical) Threats and Possible Solutions to Accurately Estimate Ongoing Transmission in the Current Agenda of Malaria Elimination

Por Nuno Sepúlveda (London School of Hygiene and Tropical Medicine & CEAUL).

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EBio2018 - 3.º Encontro Luso-Galaico de Biometria

Encontro dirigido a profissionais e utilizadores de Estatística, académicos, investigadores e estudantes.

Objetivos gerais:

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Spatio-Temporal Modelling using Bootstrap Methods

Por Raquel Menezes (Departamento de Matemática - Universidade do Minho).

Environmental monitoring data often have both a spatial structure, determined by the locations of monitors, and a temporal one, determined by the frequency with which observations are taken at these locations. Advances in technology have made the collection of datasets with this structure increasingly common in a wide variety of settings.