Inflation is a serious problem that every country tries to tackle it every year. Currently, this is done by experts in the field like statisticians, economists, key people from sectors like banking, industries governments. They make a decision at the end of the year to increase/decrease the interest rates for the public. Inflation depends on a ton of factors that are practically not feasible for a human to assess the risk of every single one.

Federal Reserve Chair 2.0 models the factors affecting inflation in a Bayes Net using Netica, this makes it easy to propagate the change in a single factor across the network.

Built With

  • bayes-nets
  • netica
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