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Computational Statistics & Data Analysis, Volume 119

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Volume 119, March 2018

Section I: Computational Statistics

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  - journals/csda/HatjispyrosMNW18
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Spyridon J. Hatjispyros, Christos Merkatas, Theodoros Nicoleris, Stephen G. Walker:
Dependent mixtures of geometric weights priors. 1-18
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  - journals/csda/Lloyd-JonesNM18
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Luke R. Lloyd-Jones, Hien Duy Nguyen, Geoffrey J. McLachlan:
A globally convergent algorithm for lasso-penalized mixture of linear regression models. 19-38

Section II: Statistical Methodology for Data Analysis

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  - journals/csda/KarimiRL18
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Maryam Karimi, G. Rey, Aurélien Latouche:
A Joint modelling of socio-professional trajectories and cause-specific mortality. 39-54
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  - journals/csda/Hartigan18
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Luke Hartigan:
Alternative HAC covariance matrix estimators with improved finite sample properties. 55-73
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Yanyan Liu, Jing Zhang, Xingqiu Zhao:
A new nonparametric screening method for ultrahigh-dimensional survival data. 74-85
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  - journals/csda/GhoshBPZH18
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Sujit K. Ghosh, Christopher B. Burns, Daniel L. Prager, Li Zhang, Glenn Hui:
On nonparametric estimation of the latent distribution for ordinal data. 86-98

Section I: Computational Statistics

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  - journals/csda/DuarteSW18
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Belmiro P. M. Duarte, Guillaume Sagnol, Weng Kee Wong:
An algorithm based on semidefinite programming for finding minimax optimal designs. 99-117

Section II: Statistical Methodology for Data Analysis

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Xiaolin Chen, Xiaojing Chen, Hong Wang:
Robust feature screening for ultra-high dimensional right censored data via distance correlation. 118-138

Section I: Computational Statistics

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Guillaume Perrin, Christian Soize, N. Ouhbi:
Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints. 139-154

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