TY  - BOOK
AU  - Sutradhar,Brajendra C.
ED  - International Symposium in Statistics (ISS) 2015 on Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-Temporal, and Familial-Longitudinal Data
TI  - Advances and challenges in parametric and semi parametric analysis for correlated data: proceedings of the 2015 International Symposium in Statistics 
T2  - Lecture notes in statistics, Proceedings
SN  - 9783319312583
U1  - 000SA.01 23
PY  - 2016///
CY  - Switzerland : 
PB  - Springer
KW  - Mathematical statistics
KW  - Congresses
N1  - Includes bibliographical references and index; Advances and challenges in inferences for elliptically contoured t distributions --
 Longitudinal mixed models with t random effects for repeated count binary data --
 Zero-inflated spatial models: application and interpretation --
 Inferences in stochastic volatility models: a new simpler way --
 A generalization of the familial longitudinal binary model to the multinomial setup --
 Dynamic models for longitudinal ordinal non-stationary categorical data --
 Semi-parametric models for longitudinal count, binary and multinomial data --
 Penalized generalized quasi-likelihood based variable selection for longitudinal data
N2  - This proceedings volume contains eight selected papers that were presented in the International Symposium in Statistics (ISS) 2015 On Advances in Parametric and Semi-parametric Analysis of Multivariate, Time Series, Spatial-temporal, and Familial-longitudinal Data, held in St. John's, Canada from July 6 to 8, 2015. The main objective of the ISS-2015 was the discussion on advances and challenges in parametric and semi-parametric analysis for correlated data in both continuous and discrete setups. Thus, as a reflection of the theme of the symposium, the eight papers of this proceedings volume are presented in four parts. Part I is comprised of papers examining Elliptical t Distribution Theory. In Part II, the papers cover spatial and temporal data analysis. Part III is focused on longitudinal multinomial models in parametric and semi-parametric setups. Finally Part IV concludes with a paper on the inferences for longitudinal data subject to a challenge of important covariates selection from a set of large number of covariates available for the individuals in the study.
ER  -