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@article{DBLP:journals/csda/JiaJ22,
  author       = {Yichen Jia and
                  Jong{-}Hyeon Jeong},
  title        = {Deep learning for quantile regression under right censoring: DeepQuantreg},
  journal      = {Comput. Stat. Data Anal.},
  volume       = {165},
  pages        = {107323},
  year         = {2022},
  url          = {https://doi.org/10.1016/j.csda.2021.107323},
  doi          = {10.1016/J.CSDA.2021.107323},
  timestamp    = {Sat, 08 Jan 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/csda/JiaJ22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/csda/Kelter22,
  author       = {Riko Kelter},
  title        = {Power analysis and type {I} and type {II} error rates of Bayesian
                  nonparametric two-sample tests for location-shifts based on the Bayes
                  factor under Cauchy priors},
  journal      = {Comput. Stat. Data Anal.},
  volume       = {165},
  pages        = {107326},
  year         = {2022},
  url          = {https://doi.org/10.1016/j.csda.2021.107326},
  doi          = {10.1016/J.CSDA.2021.107326},
  timestamp    = {Sat, 08 Jan 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/csda/Kelter22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/csda/KimK22,
  author       = {Ahhyoun Kim and
                  Hyunjoong Kim},
  title        = {A new classification tree method with interaction detection capability},
  journal      = {Comput. Stat. Data Anal.},
  volume       = {165},
  pages        = {107324},
  year         = {2022},
  url          = {https://doi.org/10.1016/j.csda.2021.107324},
  doi          = {10.1016/J.CSDA.2021.107324},
  timestamp    = {Wed, 16 Mar 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/csda/KimK22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/csda/LiZ22,
  author       = {Muyi Li and
                  Yanfen Zhang},
  title        = {Bootstrapping multivariate portmanteau tests for vector autoregressive
                  models with weak assumptions on errors},
  journal      = {Comput. Stat. Data Anal.},
  volume       = {165},
  pages        = {107321},
  year         = {2022},
  url          = {https://doi.org/10.1016/j.csda.2021.107321},
  doi          = {10.1016/J.CSDA.2021.107321},
  timestamp    = {Wed, 16 Mar 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/csda/LiZ22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/csda/MishraM22,
  author       = {Aditya Mishra and
                  Christian L. M{\"{u}}ller},
  title        = {Robust regression with compositional covariates},
  journal      = {Comput. Stat. Data Anal.},
  volume       = {165},
  pages        = {107315},
  year         = {2022},
  url          = {https://doi.org/10.1016/j.csda.2021.107315},
  doi          = {10.1016/J.CSDA.2021.107315},
  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/csda/MishraM22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/csda/ParkJS22,
  author       = {Jaewoo Park and
                  Ick{-}Hoon Jin and
                  Michael Schweinberger},
  title        = {Bayesian model selection for high-dimensional Ising models, with applications
                  to educational data},
  journal      = {Comput. Stat. Data Anal.},
  volume       = {165},
  pages        = {107325},
  year         = {2022},
  url          = {https://doi.org/10.1016/j.csda.2021.107325},
  doi          = {10.1016/J.CSDA.2021.107325},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/csda/ParkJS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/csda/ZhaoLL22,
  author       = {Yuna Zhao and
                  Dennis K. J. Lin and
                  Min{-}Qian Liu},
  title        = {Optimal designs for order-of-addition experiments},
  journal      = {Comput. Stat. Data Anal.},
  volume       = {165},
  pages        = {107320},
  year         = {2022},
  url          = {https://doi.org/10.1016/j.csda.2021.107320},
  doi          = {10.1016/J.CSDA.2021.107320},
  timestamp    = {Sat, 08 Jan 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/csda/ZhaoLL22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}