2011 - Fellow of the American Association for the Advancement of Science (AAAS)
2006 - Fellow of the American Statistical Association (ASA)
His Programming language study frequently draws connections to other fields, such as Trait and Set (abstract data type). Many of his studies on Set (abstract data type) involve topics that are commonly interrelated, such as Programming language. His Artificial intelligence study often links to related topics such as Binary classification. Xiaotong Shen connects Machine learning with Mathematical optimization in his study. In his works, Xiaotong Shen undertakes multidisciplinary study on Mathematical optimization and Machine learning. He performs multidisciplinary study on Statistics and Covariate in his works. Xiaotong Shen integrates Covariate and Statistics in his studies. He performs integrative Support vector machine and Margin (machine learning) research in his work. Xiaotong Shen performs multidisciplinary studies into Margin (machine learning) and Support vector machine in his work.
As part of his Score test and Test statistic and Statistical hypothesis testing studies, Xiaotong Shen is studying Statistical hypothesis testing. He merges Statistics with Econometrics in his study. Xiaotong Shen connects Econometrics with Statistics in his study. His Artificial intelligence study often links to related topics such as Regularization (linguistics). Machine learning is often connected to Margin (machine learning) in his work. He carries out multidisciplinary research, doing studies in Algorithm and Mathematical optimization. He combines Mathematical optimization and Algorithm in his research. By researching both Data mining and Machine learning, Xiaotong Shen produces research that crosses academic boundaries. As part of his studies on Gene, Xiaotong Shen often connects relevant subjects like Association test.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Convergence Rate of Sieve Estimates
Xiaotong Shen;Wing Hung Wong.
Annals of Statistics (1994)
Probability inequalities for likelihood ratios and convergence rates of sieve MLEs
Wing Hung Wong;Xiaotong Shen.
Annals of Statistics (1995)
Local Asymptotics for Regression Splines and Confidence Regions
S. Zhou;X. Shen;D.A. Wolfe.
Annals of Statistics (1998)
On methods of sieves and penalization
Annals of Statistics (1997)
Rates of convergence of posterior distributions
Xiaotong Shen;Larry Wasserman.
Annals of Statistics (2001)
Penalized Model-Based Clustering with Application to Variable Selection
Wei Pan;Xiaotong Shen.
Journal of Machine Learning Research (2007)
Sieve extremum estimates for weakly dependent data
Xiaohong Chen;Xiaotong Shen.
Likelihood-based selection and sharp parameter estimation.
Xiaotong Shen;Wei Pan;Yunzhang Zhu.
Journal of the American Statistical Association (2012)
Adaptive Model Selection
Xiaotong Shen;Jianming Ye.
Journal of the American Statistical Association (2002)
Xiaotong Shen;George C Tseng;Xuegong Zhang;Wing Hung Wong.
Journal of the American Statistical Association (2003)
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