Tech Reports 2019

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
19-29 C.E. Galarza, L.A. Matos, D.K.Dey & V.H. Lachos Efficient Computation of Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions
19-30 V.H. Lachos, J.L. Bazan & L.M. Castro The skew-t Censored Regression Model: Parameter Estimation Using the EM Algorithm
19-31 F.H.C. de Alencar, C.E. Galarza, L.A. Matos & V.H. Lachos Finite Mixture Modeling of Censored and Missing Data Using the Multivariate Skew-Normal Distribution
19-32 F. Zhang, M-H. Chen, X.J. Cong & Q. Chen A Bayesian Joint Modeling Approach of Longitudinal and Survival Data with Semicompeting Risks
19-33 Md. T. Sheikh, J.G. Ibrahim, J.A. Gelfond, W. Sun & M-H. Chen Joint Modeling of Longitudinal and Survival Data in the Presence of Competing Risks with Applications to Prostate Cancer Data