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Maozai Tian

Showing results (11-20 of 42) with videos related to

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Biostatistics (Oxford, England)|January 5, 2025
Unveiling Schizophrenia: a study with generalized functional linear mixed model via the investigation of functional random effectsRongxiang Rui, Wei Xiong, Jianxin Pan, et al.
Journal of Applied Statistics|June 16, 2022
Quantile regression for general spatial panel data models with fixed effectsXiaowen Dai, Zhen Yan, Maozai Tian, et al.
Statistics in Medicine|March 1, 2023
An efficient model-free approach to interaction screening for high dimensional dataWei Xiong, Han Pan, Jianrong Wang, et al.
Journal of Applied Statistics|November 16, 2023
Robust and sparse learning of varying coefficient models with high-dimensional featuresWei Xiong, Maozai Tian, Manlai Tang, et al.
Statistical Methods in Medical Research|January 2, 2026
Functional varying-coefficient Cox model and its applicationFansheng Kong, Maozai Tian, Zhihao Wang, et al.
Biometrical Journal. Biometrische Zeitschrift|May 6, 2023
Smoothed quantile regression for partially functional linear models in high dimensionsZhihao Wang, Yongxin Bai, Wolfgang K Härdle, et al.
Statistical Methods in Medical Research|January 12, 2026
Joint modeling of composite quantile regression for multiple ordinal longitudinal data with its applications to a dementia datasetShuqing Liang, Lina Bian, Qi Yang, et al.
Transboundary and Emerging Diseases|July 28, 2021
Discovering dynamic models of COVID-19 transmissionJinwen Liang, Xueliang Zhang, Kai Wang, et al.
Journal of Applied Statistics|June 16, 2022
Likelihood-based quantile autoregressive distributed lag models and its applicationsYuzhu Tian, Liyong Wang, Manlai Tang, et al.
Plos One|August 2, 2021
Penalized homophily latent space models for directed scale-free networksHanxuan Yang, Wei Xiong, Xueliang Zhang, et al.
Pageof 5

Showing results (11-20 of 42) with videos related to

Sort By:
Pageof 5
Biostatistics (Oxford, England)|January 5, 2025
Unveiling Schizophrenia: a study with generalized functional linear mixed model via the investigation of functional random effectsRongxiang Rui, Wei Xiong, Jianxin Pan, et al.
Journal of Applied Statistics|June 16, 2022
Quantile regression for general spatial panel data models with fixed effectsXiaowen Dai, Zhen Yan, Maozai Tian, et al.
Statistics in Medicine|March 1, 2023
An efficient model-free approach to interaction screening for high dimensional dataWei Xiong, Han Pan, Jianrong Wang, et al.
Journal of Applied Statistics|November 16, 2023
Robust and sparse learning of varying coefficient models with high-dimensional featuresWei Xiong, Maozai Tian, Manlai Tang, et al.
Statistical Methods in Medical Research|January 2, 2026
Functional varying-coefficient Cox model and its applicationFansheng Kong, Maozai Tian, Zhihao Wang, et al.
Biometrical Journal. Biometrische Zeitschrift|May 6, 2023
Smoothed quantile regression for partially functional linear models in high dimensionsZhihao Wang, Yongxin Bai, Wolfgang K Härdle, et al.
Statistical Methods in Medical Research|January 12, 2026
Joint modeling of composite quantile regression for multiple ordinal longitudinal data with its applications to a dementia datasetShuqing Liang, Lina Bian, Qi Yang, et al.
Transboundary and Emerging Diseases|July 28, 2021
Discovering dynamic models of COVID-19 transmissionJinwen Liang, Xueliang Zhang, Kai Wang, et al.
Journal of Applied Statistics|June 16, 2022
Likelihood-based quantile autoregressive distributed lag models and its applicationsYuzhu Tian, Liyong Wang, Manlai Tang, et al.
Plos One|August 2, 2021
Penalized homophily latent space models for directed scale-free networksHanxuan Yang, Wei Xiong, Xueliang Zhang, et al.
Pageof 5