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
22-11	L. Benites, C.B. Zeller, H. Bolfarine & V.H. Lachos	Regression Modeling of Censored Data based on Compound Scale Mixtures of Normal Distributions
22-12	S. Légitime, K. Prabhu, D. McConnell, B. Wang, D.K. Dey & D. Aguiar	Opioid Use Disorder Risk Modelling through Mobility and Genetic Feature Integration