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Computational Statistics & Data Analysis, Volume 110

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Volume 110, June 2017

Section II: Statistical Methodology for Data Analysis

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Daniel Kraus, Claudia Czado:
D-vine copula based quantile regression. 1-18
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  - journals/csda/Crane17
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Harry Crane:
A hidden Markov model for latent temporal clustering with application to ideological alignment in the U.S. Supreme Court. 19-36
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  - journals/csda/HuangFQ17
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Zhendong Huang, Davide Ferrari, Guoqi Q. Qian:
Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association. 37-49
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  - journals/csda/LinZXW17
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Hongmei Lin, Riquan Zhang, Wenchao Xu, Yuedong Wang:
Estimating time-varying treatment switching effects via local linear smoothing and quasi-likelihood. 50-63
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  - journals/csda/DoksumJSW17
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Kjell A. Doksum, Jiancheng Jiang, Bo Sun, Shuzhen Wang:
Nearest neighbor estimates of regression. 64-74
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Shuwei Li, Tao Hu, Peijie Wang, Jianguo Sun:
Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments. 75-86
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  - journals/csda/RanalliR17
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Monia Ranalli, Roberto Rocci:
Mixture models for mixed-type data through a composite likelihood approach. 87-102
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  - journals/csda/GeronimiS17
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Julia Geronimi, Gilbert Saporta:
Variable selection for multiply-imputed data with penalized generalized estimating equations. 103-114
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Himel Mallick, Nengjun Yi:
Bayesian group bridge for bi-level variable selection. 115-133
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Zhongkai Liu, Rui Song, Donglin Zeng, Jiajia Zhang:
Principal components adjusted variable screening. 134-144
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Stephan Dlugosz, Enno Mammen, Ralf Andreas Wilke:
Generalized partially linear regression with misclassified data and an application to labour market transitions. 145-159
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