sparse-plex
  • About Sparse-Plex
  • Getting Started
  • Demos
  • Sparse Signal Models
  • Compressive Sensing
  • Data Analysis
  • Data Clustering
  • Pursuit Algorithms
  • Subspace Clustering
  • Dictionary Learning
  • Set Theory
  • Linear Algebra
  • Matrix Algebra
  • Real Analysis
  • Convex Analysis
  • Probability and Random Variables
    • Random Variables
    • Gaussian distribution
    • Basic inequalities
    • Two variables
    • Expectation
    • Complex random variable
    • Random vectors
    • Gaussian random vector
  • Geometry
  • Numerical Optimization
  • Digital Signal Processing
  • Wavelets
  • Detection, Classification and Estimation
  • ECG
  • Computational Complexity
  • Library Classes
  • Exercises
  • Scripts
  • References
  • Index
  • File an issue
  • sparse-plex
    • Docs »
    • Probability and Random Variables

    Probability and Random Variables¶

    • Random Variables
      • Cumulative distribution function
      • Probability density function
      • Expectation
      • Characteristic function
      • Moment generating function
      • Second characteristic function
      • Cumulant generating function
    • Gaussian distribution
      • Standard normal distribution
      • Error function and its properties
      • One sided Gaussian distribution
      • Truncated normal distribution
    • Basic inequalities
      • Markov’s inequality
      • Chebyshev’s inequality
      • Boole’s inequality
      • Fano’s inequality
      • Cramér–Rao inequality
      • Hoeffding’s inequality
      • Jensen’s inequality
      • Bernstein inequalities
      • Chernoff’s inequality
      • Fréchet inequalities
    • Two variables
      • Conditional density
      • Independent variables
    • Expectation
      • Independent variables
      • Uncorrelated variables
    • Complex random variable
    • Random vectors
    • Gaussian random vector
      • Whitening
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