Decision theory | Design of experiments | Sequential methods

Gittins index

The Gittins index is a measure of the reward that can be achieved through a given stochastic process with certain properties, namely: the process has an ultimate termination state and evolves with an option, at each intermediate state, of terminating. Upon terminating at a given state, the reward achieved is the sum of the probabilistic expected rewards associated with every state from the actual terminating state to the ultimate terminal state, inclusive. The index is a real scalar. (Wikipedia).

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From playlist Statistics

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From playlist Unit 2: Normal Distributions

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From playlist Trigonometry

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From playlist Statistics Playlist 1

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From playlist Statistics

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From playlist PGConf NYC 2021

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Related pages

Stochastic scheduling | Domain of a function | Bernoulli process | Markov decision process | Dynamic programming | Stochastic process | Gaussian elimination | Lagrange multiplier | Optimal stopping | Markov chain | Real number | Multi-armed bandit | Scalar (mathematics) | Linear programming | NP (complexity) | Scheduling (computing)