OnlineLogBinning

Julia package to determine effective number of uncorrelated data points in a correlated data stream via an O(log N) online binning algorithm.

To use this package, one adds it in any usual Julian way, for example, by simply pressing ] in the Julia REPL to enter pkg mode, and then by typing the following

pkg> add OnlineLogBinning

to download OnlineLogBinning.jl from Julia's General Registries. (Remember to press Backspace to leave pkg mode.)

• Why use a Binning Analysis?
• • Theoretical background
  • Visualizing a Binning Analysis
  • • Visualization Examples
    • • Example 1: Clear $R_X$ plateau at a finite value
      • Example 2: Uncorrelated data ~ $R_X(\ell \rightarrow \infty) = 0$
      • Example 3: No plateau due to data insufficiency
      • Example 4: No plateau due to totally-correlated data
• OnlineLogBinning's Accumulator structs
• • Accumulator type hierarchy
  • The BinningAccumulator
  • The LevelAccumulator
  • The PairAccumulator
• How to use OnlineLogBinning
• • Initialization
  • Accumulate data
  • Available online statistics
  • Perform the Binning Analysis
• The Math Behind OnlineLogBinning
• Related packages
• OnlineLogBinning API Reference