Biography

Wagner Hugo Bonat is Researcher and Lecturer of the Department of Statistics at Paraná Federal University - UFPR, where he has been since 2010. He is the Head of the Data Science and Big Data program (DSBD) and a member of the Laboratory of Statistics and Geoinformation (LEG). He received a B.S. from Paraná Federal University in 2008, and an M.S. from the Paraná Federal University in 2010. He received his Ph.D. in Mathematics and Computer Science from the University of Southern Denmark in 2016.

His research lies on statistical modelling and estimating functions. Much of his work has been on extending the generalized linear model class to deal with multiple response variables. His main contribution is a new class of multivariate regression models called Multivariate Covariance Generalized Linear models (McGLMs) and the associated R package (mcglm).

• Double Poisson-Tweedie Regression Models

  Details PDF Code Dataset Publication page

• Quasi-beta Longitudinal Regression Model Applied to Water Quality Index Data

  Details PDF Code Dataset Publication page

• Likelihood analysis for a class of Simplex mixed models

  Details PDF Code Publication page

• Flexible quasi-beta regression models for continuous bounded data

  Details PDF Code Publication page

• Multivariate extended Poisson-Tweedie regression models

  Mon, Feb 19, 2018, Workshop on Multivariate Count Analysis.

Current courses:

• wbonat [@] ufpr.br
• + 55 41 3361-3573
• wbonat
• Laboratory of Statistics and Geoinformation - LEG, office 227, Centro Politécnico, UFPR, Curitiba, PR, Brazil.