Languages
Pages
Legal
Explore all categories to find your favorite topic
Ann Oper Res 2010 174: 103–120 DOI 10.1007s10479-008-0357-7 Financial market forecasting using a two-step kernel learning method for the support vector regression Li Wang…
Improved Classification of Mass Spectrometry Database Search Results Using Newer Machine Learning Approaches* Peter J Ulintz‡§¶ Ji Zhu� Zhaohui S Qin§** and Philip…
Genetics and population analysisComponent-wise gradient boosting and falsediscovery control in survival analysis withhigh-dimensional covariatesKevin He1, Yanming Li1, Ji…
This article is protected by copyright All rights reserved 1 BIOMETRIC METHODOLOGY Drawing inferences for High-dimensional Linear Models: A Selection-assisted Partial Regression…
Partial Correlation Estimation by Joint Sparse Regression Models Jie PENG, Pei WANG, Nengfeng ZHOU, and Ji ZHU In this article, we propose a computationally efficient approach—space…
Kernel Logistic Regression and the Import Vector Machine Ji ZHU and Trevor HASTIE The support vector machine (SVM) is known for its good performance in two-class classification,…
The Annals of Statistics 2012 Vol 40 No 4 2266–2292 DOI: 10121412-AOS1036 © Institute of Mathematical Statistics 2012 CONSISTENCY OF COMMUNITY DETECTION IN NETWORKS UNDER…
The Annals of Statistics 2016 Vol 44 No 1 31–57 DOI: 10121415-AOS1343 © Institute of Mathematical Statistics 2016 ASYMPTOTICS IN DIRECTED EXPONENTIAL RANDOM GRAPH MODELS…
Please see the online version of this article for supplementary materials Variable Selection With the Strong Heredity Constraint and Its Oracle Property Nam Hee CHOI William…
The Annals of Applied Statistics 2014 Vol 8 No 2 1045–1064 DOI: 10121414-AOAS736 © Institute of Mathematical Statistics 2014 REGULARIZED 3D FUNCTIONAL REGRESSION FOR BRAIN…
Full Terms Conditions of access and use can be found at http:wwwtandfonlinecomactionjournalInformationjournalCode=tbep20 Download by: 684317717 Date: 13 March 2017 At: 12:49…
Statistics and Its Interface Volume 3 (2010) 557–574 Group variable selection via a hierarchical lasso and its oracle property Nengfeng Zhou and Ji Zhu∗ In many engineering…
JOURNAL OF MATHJIMATICAL ANALYSIS AND APPLICATIONS 33 82-95 1971 Some Results on Tchebychefian Spline Functions* GEORGE KIMELDORF Department of Statistics Florida State University…
Some Aspects of the Spline Smoothing Approach to Non-Parametric Regression Curve Fitting Authors: B W Silverman Source: Journal of the Royal Statistical Society Series B…
Asymptotics for Lasso-Type Estimators Keith Knight Wenjiang Fu The Annals of Statistics Vol 28 No 5 Oct 2000 pp 1356-1378 Stable URL: http:linksjstororgsicisici=0090-5364%28200010%2928%3A5%3C1356%3AAFLE%3E20CO%3B2-W…
Regression Shrinkage and Selection via the Lasso Robert Tibshirani Journal of the Royal Statistical Society. Series B (Methodological), Vol. 58, No. 1. (1996), pp. 267-288.…
O A P A P * M B o t f p 7 p r t p 7 t 2 o o i w a a c r e w a n a l s a m V M a p b f e a t CLINICAL GASTROENTEROLOGY AND HEPATOLOGY 20108:143–150 RIGINAL ARTICLES—ALIMENTARY…
3. Conditional probability & independence Conditional Probabilities • Question: How should we modify P(E) if we learn that event F has occurred? • Derivation: Suppose…
Surrogate loss functions, divergences and decentralized detection XuanLong Nguyen Department of Electrical Engineering and Computer Science U.C. Berkeley Advisors: Michael…