Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Kani Chen"'
Autor:
Sicong He, Ye Tian, Shachuan Feng, Yi Wu, Xinwei Shen, Kani Chen, Yingzhu He, Qiqi Sun, Xuesong Li, Jin Xu, Zilong Wen, Jianan Y Qu
Publikováno v:
eLife, Vol 9 (2020)
Heterogeneity broadly exists in various cell types both during development and at homeostasis. Investigating heterogeneity is crucial for comprehensively understanding the complexity of ontogeny, dynamics, and function of specific cell types. Traditi
Externí odkaz:
https://doaj.org/article/c319f55d4b04465f8e2dcdde889617ab
Publikováno v:
Biometrika. 110:187-203
Summary We propose a linearized maximum rank correlation estimator for the single-index model. Unlike the existing maximum rank correlation and other rank-based methods, the proposed estimator has a closed-form expression, making it appealing in theo
Publikováno v:
British Journal of Mathematical and Statistical Psychology. 73:522-540
The design of recommendation strategies in the adaptive learning systems focuses on utilizing currently available information to provide learners with individual-specific learning instructions. As a critical motivate for human behaviours, curiosity i
Publikováno v:
Statistica Sinica.
Publikováno v:
Ann. Appl. Probab. 30, no. 5 (2020), 2491-2515
The Bradley–Terry model is a fundamental model in the analysis of network data involving paired comparison. Assuming every pair of subjects in the network have an equal number of comparisons, Simons and Yao (Ann. Statist. 27 (1999) 1041–1060) est
Publikováno v:
Appl Psychol Meas
Personalized recommendation system has been widely adopted in E-learning field that is adaptive to each learner’s own learning pace. With full utilization of learning behavior data, psychometric assessment models keep track of the learner’s profi
Statistical inference using pairwise comparison data is an effective approach to analyzing large-scale sparse networks. In this paper, we propose a general framework to model the mutual interactions in a network, which enjoys ample flexibility in ter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25da1395bad28456f4ab31f1b94b9390
http://arxiv.org/abs/2002.08853
http://arxiv.org/abs/2002.08853
Publikováno v:
Soft Computing. 24:2527-2541
This paper endeavors to develop some dimension reduction techniques in panel data analysis when the numbers of individuals and indicators are very large. We use principal component analysis method to represent a large number of indicators via minorit
Autor:
Jianan Y. Qu, Sicong He, Xuesong Li, Yi Wu, Kani Chen, Yingzhu He, Jin Xu, Zilong Wen, Qiqi Sun, Xinwei Shen, Shachuan Feng, Ye Tian
Publikováno v:
eLife
eLife, Vol 9 (2020)
eLife, Vol 9 (2020)
Heterogeneity broadly exists in various cell types both during development and at homeostasis. Investigating heterogeneity is crucial for comprehensively understanding the complexity of ontogeny, dynamics, and function of specific cell types. Traditi
Fithian and Hastie (2014) proposed a new sampling scheme called local case-control (LCC) sampling that achieves stability and efficiency by utilizing a clever adjustment pertained to the logistic model. It is particularly useful for classification wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c2e1b3a54042126586dbb6f6f648a31