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Source URL: www.fam.tuwien.ac.at

Jackknife Empirical Likelihood Methods for Risk Measures and Related Quantities Liang Peng1 , Yongcheng Qi2 , Ruodu Wang1 and Jingping Yang3 Abstract The quantification of risks is of importance in insurance. In this pap

Source URL: sas.uwaterloo.ca

• Mathematical analysis
• Statistics
• Analysis
• Probability distributions
• Gamma distribution
• Distribution
• Confidence interval
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• M-estimator

Empirical Likelihood Test for High Dimensional Linear Models Liang Peng1 , Yongcheng Qi2 and Ruodu Wang3 January 7, 2014 Abstract We propose an empirical likelihood method to test whether the coefficients in a possibly h

Source URL: sas.uwaterloo.ca

• Statistics
• Statistical theory
• Estimation theory
• Regression analysis
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• Linear regression
• Likelihood function

Journal of EMPIRICAL ELSEVIER Journal of Empirical Finance

Source URL: www.ssc.wisc.edu

• Statistics
• Probability
• Mathematical finance
• Covariance and correlation
• Probability distributions
• Stable distributions
• Statistical tests
• Covariance
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• Variance
• Normal distribution
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Jackknife Empirical Likelihood Test for Equality of Two High Dimensional Means Ruodu Wang1 , Liang Peng1 and Yongcheng Qi2 Abstract It has been a long history to test the equality of two multivariate means. One popular t

Source URL: sas.uwaterloo.ca

• Covariance and correlation
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• Normal distribution
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An Empirical Study of Smoothing Techniques for Language Modeling Stanley F. Chen and Joshua Goodman TR-10-98

Source URL: www.speech.sri.com

• Statistics
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• Statistical natural language processing
• Categorical data
• Markov models
• Statistical theory
• N-gram
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To appear in the Annales de l’Institut Henri Poincar´ e, Probabilit´ es et StatistiquesLARGE DEVIATIONS OF U -EMPIRICAL MEASURES

Source URL: www.fam.tuwien.ac.at

• Compactness theorem
• Model theory
• Logic
• Mathematics
• Measure theory
• Abstraction
• Probability distributions

Examining an empirical relationship between Lnight and the probability of awakening Nicholas P. Millera) Harris Miller Miller & Hanson Inc. Burlington, Massachusetts, USA The World Health Organization, WHO, has proposed

Source URL: www.hmmh.com

Introduction to Statistical Learning Theory Olivier Bousquet1 , St´ephane Boucheron2 , and G´abor Lugosi3 1 Max-Planck Institute for Biological Cybernetics Spemannstr. 38, DT¨

Source URL: www.econ.upf.edu

• Machine learning
• Learning
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• Supervised learning
• Statistical learning theory
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• Probability distribution
• Pattern recognition
• Generalization error
• Stability

An Empirical Evaluation of Thompson Sampling Lihong Li Yahoo! Research Santa Clara, CA

Source URL: papers.nips.cc

• Statistics
• Probability distributions
• Statistical inference
• Estimation theory
• Machine learning
• Stochastic optimization
• Bayesian inference
• Sampling
• Normal distribution
• Beta distribution
• Multi-armed bandit
• Confidence interval