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Introduction to Maximum Entropy Methods
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A Simple Example: Waiting for a Taxicab
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The Maximum Entropy Method
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MaxEnt Applied to the Taxicab Example, Part 1
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MaxEnt Applied to the Taxicab Example, Part 2
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Review of MaxEnt
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A Real-World Example: Modeling the Open Source Ecosystem, Part 1
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Modeling the Open Source Ecosystem, Part 2
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Modeling the Open Source Ecosystem, Part 3
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A Second Real-World Example: Modeling Sears-Roebuck Catalog Prices, Part 1
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Modeling Sears-Roebuck Catalog Prices, Part 2
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Conclusion
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3.1 The Maximum Entropy Method » Quiz 1 Solution
The answer is a. The idea here is that we maximize the entropy of a distribution subject to constraints. In the picture, f is the function to be maximized, and g is the constraint.