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ORCIDComputational Statistics & Data Analysis, Volume 141
Volume 141, January 2020
- Lucilio Cordero-Grande
:
MIXANDMIX: numerical techniques for the computation of empirical spectral distributions of population mixtures. 1-11
- Miaomiao Wang, Catherine Chunling Liu, Tianfa Xie, Zhihua Sun:
Data-driven model checking for errors-in-variables varying-coefficient models with replicate measurements. 12-27 - Hong-Fan Zhang, Lei Huang, Lian-Lian Liu:
On bootstrap consistency of MAVE for single index models. 28-39 - Gaku Igarashi, Yoshihide Kakizawa:
Multiplicative bias correction for asymmetric kernel density estimators revisited. 40-61
- Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander:
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study. 62-76
- Jun Zhang, Bingqing Lin, Zhenghui Feng:
Conditional absolute mean calibration for partial linear multiplicative distortion measurement errors models. 77-93
- Jinhan Xie, Meiling Hao, Wenxin Liu, Yuanyuan Lin:
Fused variable screening for massive imbalanced data. 94-108
- Shuo Chen, F. DuBois Bowman, Yishi Xing:
Detecting and testing altered brain connectivity networks with k-partite network topology. 109-122
- Belhal Karimi, Marc Lavielle, Eric Moulines:
f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models. 123-138
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