Sutradhar B.C. (ed.) Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data

New York: Springer, 2016. — 267 p. — (Lecture Notes in Statistics 218). — ISBN: 978-3-319-31258-3.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.Elliptical t Distribution Theory
Brajendra C. Sutradhar
Advances and Challenges in Inferences for Elliptically Contoured t Distributions
R. Prabhakar Rao, Brajendra C. Sutradhar, and V.N. Pandit
Longitudinal Mixed Models with t Random Effects for Repeated Count and Binary Data
Spatial and/or Time Series Volatility Models with Applications
L.M. Ainsworth, C.B. Dean, and R. Joy
Zero-Inflated Spatial Models: Application and Interpretation
Vickneswary Tagore, Nan Zheng, and Brajendra C. Sutradhar
Inferences in Stochastic VolatilityModels: A New Simpler Way
Longitudinal Multinomial Models in Parametric and Semi-parametric Setups
Brajendra C. Sutradhar, Roman Viveros-Aguilera, and Taslim S. Mallick
A Generalization of the Familial Longitudinal Binary Model to the Multinomial Setup
Brajendra C. Sutradhar and Nairanjana Dasgupta
Dynamic Models for Longitudinal Ordinal Non-stationary Categorical Data
Brajendra C. Sutradhar
Semi-parametric Models for Longitudinal Count, Binary and Multinomial Data
An Extension of the GQL Estimation Approach for Longitudinal Data Analysis
Tharshanna Nadarajah, Asokan Mulayath Variyath, and J. Concepcion Loredo-Osti
Penalized Generalized Quasi-Likelihood Based Variable Selection for Longitudinal Data