Previous tech reports are available here.
2022
Id | Authors | Title |
22-01 | M.S. Saccucci, J.M. Lucas, P.D. Bourke, D.J. Davis & E.M. Saniga | A Closer Look at the Equivalence of Bernoulli and Geometric CUSUM Control Charts |
22-02 | L. Wang, D.K. Dey & Y. Gu | Interaction Selection for Tweedie’s Compound Poisson Models |
22-03 | J. Park, D.K. Dey & V.H. Lachos | Finite Mixture of Regression Models for Censored Data Based on the skew-t Distribution |
22-04 | F.L. Schumacher, L.A. Matos & V.H. Lachos | Skewlmm: An R Package for Fitting Skewed and Heavy-Tailed Linear Mixed Models |
22-05 | Z. Hu & D.K. Dey | Variable Selection for Gaussian Process Models |
22-06 | D.J. Davis, J.M. Lucas, E.M. Saniga & M.S. Saccucci | Power Guidelines for Process Monitoring |
22-07 | L. Wang, D.K. Dey & Y. Gu |
Interaction Selection for Tweedie’s Compound Poisson Models with the Strong Heredity Constraint |
22-08 | K.A.L. Valeriano, C.E. Galarza, L.A. Matos & V.H. Lachos | Likelihood-based Inference for the Multivariate Skew-t Regression with Censored or Missing Responses |
22-09 | A. Halder, S. Mohammed & D.K. Dey | Bayesian Variable Selection in Double Generalized Linear Tweedie Spatial Process Models |
22-10 | A. Halder, S. Banerjee & D.K. Dey | Bayesian Modeling with Spatial Curvature Processes |