Forecasting via Fokker–Planck Using Conditional Probabilities

  • Chris MontagnonEmail author
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


Using a closed solution to a Fokker–Planck equation model of a time series, a probability distribution for the next observation is developed. This pdf has one free parameter, b. Various approaches to selecting this parameter have been explored: most recent value, weighted moving average, etc. Here, we explore using a conditional probability distribution for this parameter b, based upon the most recent observation. These methods are tested against some real-world product sales for both a one-step ahead and a two-step ahead forecast. Significant reduction in safety stock levels is found versus an ARMA approach, without a significant increase in out-of-stocks.


Forecasting Fokker-Planck Parameter distribution Conditional probability Stock control 


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of MathematicsImperial CollegeLondonUK

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