个人简介
博士(清华大学,2019)、硕导
Reviewer of Communications in Statistics-Theory and Methods
Reviewer of Institute of Electrical and Electronics Engineers (IEEE)
Reviewer of Journal of Mathematics
Reviewer of Statistical Research
工作履历
2019.7-至今 北京林业大学经济管理学院,从事教学与科研工作
研究领域
主要从事统计学和农林经济管理中的空间统计、资源环境统计、不确定统计、纵向数据分析、机器学习、深度学习等的理论和应用研究
近期论文
查看导师新发文章
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Fang, L., Hong, Y. P., 2019. Uncertain revised regression analysis with responses of logarithmic, square root and reciprocal transformations. Soft Computing. 24, 2655–2670.
Fang, L. et al., 2019. Uncertain Johnson-Schumacher growth model with imprecise observations and k-fold cross-validation test. Soft Computing. 24, 2715–2720.
Huang, Z. Y., et al., 2019. The neuroprotective effect of deep brain stimulation at nucleus basalis of Meynert in transgenic mice with Alzheimer's disease. Brain Stimulation. 12 (1), 161-174.
Fang, L., et al., 2020. Patterns and Factors Influencing the Frequency of Crop Damage by Wild Animals in Rural Areas of Beijing. Forest Policy &Economics. 124, 102379.
Liu, S.Q., Fang L.*, Zhou, Z.Y., Hong, Y. P., 2020. Uncertain Box-Cox Regression Analysis With Rescaled Least Squares Estimation. IEEE acess. 8,84769 - 84776.
Fang, L., Zhou, Z. Y., Hong, Y. P., Chen,W. H., 2021. Uncertain Logistic and Box-Cox Regression Analysis with Maximum Likelihood Estimation. Communications in Statistics-Theory and Methods. 1-20.
Fang, L., Zhou, Z.Y., Hong, Y. P., 2021 Symmetry Analysis of the Uncertain Alternative Box-Cox Regression Model. Symmetry. 14(1), 22.