Computational Statistics & Data Analysis, Volume 169 (original) (raw)

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Volume 169, May 2022

Statistical Methodology for Data Analysis

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    Yan-Yong Zhao, Jin-Guan Lin, Jian-Qiang Zhao, Zhang-Xiao Miao:
    Estimation of semi-varying coefficient models for longitudinal data with irregular error structure. 107389
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    María Luz Gámiz, Enno Mammen, María Dolores Martínez Miranda, Jens Perch Nielsen:
    Missing link survival analysis with applications to available pandemic data. 107405

Computational Statistics

Statistical Methodology for Data Analysis

Computational Statistics

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    Ryan Thompson:
    Robust subset selection. 107415

Statistical Methodology for Data Analysis

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    Clara Grazian, Luciana Dalla Valle, Brunero Liseo:
    Approximate Bayesian conditional copulas. 107417
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    Yang Liu, Wei Sun, Li Hsu, Qianchuan He:
    Statistical inference for high-dimensional pathway analysis with multiple responses. 107418
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    Jiyu Luo, Qiang Sun, Wen-Xin Zhou:
    Distributed adaptive Huber regression. 107419
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    Seongho Kim, Weng Kee Wong:
    Spatial two-stage designs for phase II clinical trials. 107420
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    Xi Liu, Afshin A. Divani, Alexander Petersen:
    Truncated estimation in functional generalized linear regression models. 107421

Computational Statistics

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    Andreas H. Hamel, Daniel Kostner:
    Computation of quantile sets for bivariate ordered data. 107422
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    Jérémie Bigot, Charles Deledalle:
    Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation. 107423
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    Jan G. De Gooijer, Gustav Eje Henter, Ao Yuan:
    Kernel-based hidden Markov conditional densities. 107431

Statistical Methodology for Data Analysis

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    Juan Sosa, Brenda Betancourt:
    A latent space model for multilayer network data. 107432

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