Previous tech reports are available here.

2019

Id	Authors	Title
19-01	K.A.L. Valeriano, V.H. Lachos & L.A. Matos	Likelihood Based Inference for Spatio-Temporal Data with Censored and Missing Responses
19-02	R.C. Olivari, A.M. Garay, V.H. Lachos & L.A. Matos	Autoregressive Mixed-Effects Models for Censored Data
19-03	Y-B. Wang, M-H. Chen, W. Shi, P. Lewis & L. Kuo	Inflated Density Ratio and Its Variation and Generalization for Computing Marginal Likelihoods
19-04	Y. Liu, G. Hu, L. Cao, X. Wang & M-H. Chen	Monte Carlo Methods for Computing Marginal Likelihoods with Applications to Item Response Theory Models
19-05	G. Hu, F. Huffer & M-H. Chen	New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications
19-06	Y. Liu, L. Geng, X. Wang, D. Zhang & M-H. Chen	Subgroup Analysis from Bayesian Perspectives
19-07	J.L. Pancras, X. Wang & D.K. Dey	Investigating Nested Geographic Structure in Consumer Purchases: A Bayesian Dynamic Multi-scale Spatiotemporal Modeling Approach
19-08	V.G. Cancho, J. L. Bazan & D.K. Dey	A New Regression Model for Bounded Response with Application in the Study of Cure Rate of Colorectal Cancer
19-09	R. da Paz, J.L. Bazan, V.H. Lachos & D.K. Dey	A Finite Mixture Mixed Proportion Regression Model for Classification Problems in Longitudinal Voting Data
19-10	Z. Ma, Y. Xue & G. Hu	Geographically Weighted Regression Analysis for Spatial Economics Data: A Bayesian Recourse
19-11	H-C. Yang, L. Geng & G. Hu	Computationally Efficient Bayesian Estimation for Spatial Weibull Regression with Applications in China Earthquake Economic Loss
19-12	R. Visina, Y. Bar-Shalom, P. Willett & D.K. Dey	On-Demand Track-to-Track Fusion Using Local IMM Inside Information
19-13	J. Geng, W. Shi & G. Hu	Bayesian Nonparametric Nonhomogeneous Poisson Process with Applications
19-14	C.E. Galarza, L.A. Matos, D.K. Dey & V.H. Lachos	On Moments of Folded and Truncated Multivariate Extended Skew-Normal Distributions