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来自「斯坦福大学Grant和Boyd教授等开发的凸优化matlab工具箱」· M 代码 · 共 15 行

% Chapter 7: Statistical estimation
%
%  counting_problem_poisson.m - Section 7.1.1: Counting problems with Poisson distribution
%  ML_covariance_est.m        - Section 7.1.1: Covariance estimation for Gaussian variables
%  probbounds.m               - Section 7.4.3: Probability bounds example with Voronoi diagram
%  expdesign.m                - Section 7.5.2: Experiment design
%  logistics.m                - Figure 7.1: Logistic regression
%  logistics_gp.m             - Figure 7.1: Logistic regression (GP version)
%  maxent.m                   - Example 7.2: Maximum entropy distribution
%  detector2.m                - Example 7.4: Binary hypothesis testing
%  cheb.m                     - Computes Chebyshev lower bounds on probability vectors
%  cher.m                     - Computes Chernoff upper bounds on probability
%  montecarlo.m               - estimates probability than random vector x in R2
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