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近日,WISE、经济学院统计学与数据科学系王中雷助理教授,和墨尔本大学彭柳华助理教授、爱荷华州立大学Jae Kwang Kim教授合作的题为“Bootstrap Inference for The Finite Population Mean under Complex Sampling Designs”的论文在统计学权威期刊Journal of the Royal Statistical Soc...
The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional (UHD) setup is not well unders...
The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional(UHD) setup is not well underst...
Michael Nussbaum research program focuses on asymptotic methods in quantum statistics, in particular on hypothesis testing and discrimination between states of quantum systems. Further topics are the ...
David Ruppert is Andrew Schulz Jr. Professor of Engineering, School of Operations Research and Information Engineering, and Professor of Statistical Science, Cornell University. He received a BA in Ma...
John Abowd is the Edmund Ezra Day Professor in the department of Economics, where he also serves as the Director of Graduate Studies. Professor Abowd is a member in the graduate fields of Economics, I...
James Booth currently Chair of the Department of Biological Statistics and Computational Biology in the College of Agriculture and Life Sciences at Cornell University. I came to Cornell in 2003 as a v...
Florentina Bunea have an MS in Mathematics from the University of Bucharest, Romania, and a Ph. D. in Statistics from the University of Washington, Seattle (2000).My research interests include machine...
Our department offers three programs at the undergraduate and graduate levels. Students can earn a BA in either Biometry or Statistics. The MPS offers students the opportunity to earn a professional M...
A deterministic activity network (DAN) is a collection of activities, each with some duration, along with a set of precedence constraints, which specify that activities begin only when certain others ...
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
This paper considers the problem of fitting regression models to historical fleet data with mixed effects, which arises in the context of statistical monitoring of data from a fleet (population) of si...
In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Xβ + z, where β ∈ Rp is...
A number of fundamental results in modern statistical theory involve thresholding estimators. This survey paper aims at reconstructing the history of how thresholding rules came to be popular in stati...
First of all, we would like to thank all the discussants for their interest and comments, as well as for their thorough investigation. The comments all underlie the importance and timeliness of the to...

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