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Computational Statistics & Data Analysis, Volume 162

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Volume 162, October 2021

Statistical Methodology for Data Analysis

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Yunju Im, Aixin Tan:
Bayesian subgroup analysis in regression using mixture models. 107252

Computational Statistics

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  - journals/csda/PolanskyP21
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Alan M. Polansky, Paramahansa Pramanik:
A motif building process for simulating random networks. 107263
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Marco A. R. Ferreira, Erica M. Porter, Christopher T. Franck:
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects. 107264

Statistical Methodology for Data Analysis

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  - journals/csda/WangZHQW21
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Feifei Wang, Yingqiu Zhu, Danyang Huang, Haobo Qi, Hansheng Wang:
Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data. 107265

Computational Statistics

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Yicheng Kang, Yueyong Shi, Yuling Jiao, Wendong Li, Dongdong Xiang:
Fitting jump additive models. 107266
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  - journals/csda/LangreneW21
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Nicolas Langrené, Xavier Warin:
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation. 107267

Statistical Methodology for Data Analysis

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Jonathan Acosta, Alfredo Alegría, Felipe Osorio, Ronny O. Vallejos:
Assessing the effective sample size for large spatial datasets: A block likelihood approach. 107282

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