Dissertations and Theses: Statistics Program

Below you will find the dissertations and theses of the Statistics Graduate Program produced and defended on IMECC starting on year 2000. You can filter the output by program, year, and level.

Student Title Program Date
Rafael Rodrigues de Moraes Tail events in practice: bayesian modelling using copulas Statistics 06/29/2020
Sérgio Henrique Andrade de Azevedo Modelling of macroeconomic time series through factor-augmented smooth transition vector autoregressions under a bayesian framework Statistics 04/06/2020
Christian Eduardo Galarza Morales On Moments of doubly truncated multivariate distributions Statistics 03/23/2020
Thainá Soares Silva Similarities between Markov processes Statistics 02/27/2020
Amanda Merian Freitas Mendes Generalized mixed Poisson models for overdispersed count data Statistics 02/21/2020
Hugo Calegari Estimation in the skew-normal hyperbolic distribution : EM algorithm Statistics 02/19/2020
Telma Tompson Areal data analysis to characterize the incidence of crimes in the city of Rio de Janeiro Statistics 09/13/2019
Thaís Castelo Branco Monho Measurement error regression under a normal inverse gaussian model Statistics 07/23/2019
Heidi Mara do Rosário Sousa Study of classification models with application to genomic data Statistics 05/31/2019
Nathalia Lima Chaves Generalized augmented mixed Birnbaum-Saunders regression models Statistics 04/26/2019
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Secretaria de Pós-Graduação
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