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Advances and challenges in parametric and semi parametric analysis for correlated data: proceedings of the 2015 International Symposium in Statistics /

By: Contributor(s): Material type: TextTextSeries: Lecture notes in statistics, Proceedings ; v 218.Publication details: Switzerland : Springer, 2016.Description: xix, 256 pages : illustrations ; 24 cmISBN:
  • 9783319312583
Subject(s): DDC classification:
  • 000SA.01 23 In61
Contents:
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.
Summary: 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.
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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.

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.

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