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
19-15	T.B. Mattos, L.A. Matos & V.H. Lachos	A Semiparametric Mixed-Effects Model for Censored Longitudinal Data
19-16	F. Liu, J. Zhang, N. Shi & M-H. Chen	A Generalized Semi-Parametric Model for Jointly Analyzing Response Times and Accuracy in Computerized Testing
19-17	L. Geng, Y. Xue & G. Hu	Subsampled Information Criterion for Bayesian Model Selection in Big Data Setting
19-18	J. Jiao, G. Hu & J. Yan	A Bayesian Joint Model for Spatial Point Processes with Application to Basketball Shot Chart
19-19	J. Lee, H. Wang & E.D. Schifano	Online Updating for Linear Measurement Error Model in Big Data Stream
19-20	J. Wu, M. de Castro & M-H. Chen	Bayesian Survival Analysis in the Presence of Monotone Likelihoods
19-21	C.F. Ferreira, V.H. Lachos & A.M. Garay	Inference and Diagnostics for Heteroscedastic Nonlinear Regression Models Under Skew Scale Mixtures of Normal Distributions
19-22	T. Ye, V.H. Lachos, X. Wang & D.K. Dey	Comparisons of Zero-Inflated Continuous Regression Models from a Bayesian Perspective
19-23	F.H.C. de Alencar, L.A. Matos & V.H. Lachos	Finite Mixture of Censored Linear Mixed Models for Irregularly Observed Longitudinal Data
19-24	Y. Xue, J. Yan & E.D. Schifano	Simultaneous Monitoring for Regression Coefficients and Baseline Hazard Profile in Cox Modeling of Time-to-Event Data
19-25	Z. Ma, Y. Xue & G. Hu	Bayesian Heterogeneity Pursuit Regression Models for Spatially Dependent Data
19-26	G. Hu, Y. Xue & F. Huffer	A Comparison of Bayesian Accelerated Failure Time Models with Spatially Varying Coefficients
19-27	G. Hu, M-H. Chen & N. Ravishanker	Bayesian Analysis of Spherically Parameterized Dynamic Multivariate Stochastic Volatility Models
19-28	L.L. Hernandez-Velasco, C.A. Abanto-Valle & D.K. Dey	Mixed Effects State-Space Models with Student-t errors