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|---|---|---|
 Date: 2008-12-10 22:19:44Bayesian statistics Statistical inference Stochastic processes Non-parametric statistics Bayes factor Dirichlet process Nonparametric regression Bayesian inference Parametric model Statistics Statistical theory Regression analysis |
| Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham KakadeDocID: 1vkcR - View Document |
| Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham KakadeDocID: 1vbLp - View Document |
| ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood EstimationDocID: 1vbHd - View Document |
| Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018DocID: 1v6Ai - View Document |
| Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham KakadeDocID: 1v3Qc - View Document |