Decision theory | Robust statistics

Info-gap decision theory

Info-gap decision theory seeks to optimize robustness to failure under severe uncertainty, in particular applying sensitivity analysis of the stability radius type to perturbations in the value of a given estimate of the parameter of interest. It has some connections with Wald's maximin model; some authors distinguish them, others consider them instances of the same principle. It has been developed by Yakov Ben-Haim, and has found many and described as a theory for decision-making under "severe uncertainty". It has been as unsuited for this purpose, and proposed, including such classical approaches as robust optimization. (Wikipedia).

Info-gap decision theory
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(ML 11.8) Bayesian decision theory

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From playlist Machine Learning

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From playlist Machine Learning

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From playlist Voting Theory

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Calculus - Find the limit of a function using epsilon and delta

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From playlist Calculus

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From playlist Media Literacy

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Multivariable Calculus | The Squeeze Theorem

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From playlist Multivariable Calculus

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Nexus Trimester - Christian Sohler (TU Dortmund)

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From playlist 2016-T1 - Nexus of Information and Computation Theory - CEB Trimester

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From playlist BlueHat v9

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From playlist Join or Die with Craig Ferguson | Official Series Playlist | History

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From playlist Multivariable Calculus

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From playlist Stanford Seminars

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From playlist Control Theory and Optimization

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Selection of the Best System using large deviations, and multi-arm Bandits by Sandeep Juneja

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From playlist Large deviation theory in statistical physics: Recent advances and future challenges

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From playlist JupyterLab Meetings

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From playlist Psych 9B: Psych Fundamentals

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From playlist Math Puzzles, Riddles And Brain Teasers

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From playlist Calculus I

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Calculus 2.2a - A Graphical Look at Limits

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From playlist Calculus Chapter 2: Limits (Complete chapter)

Related pages

Metric space | Admissible decision rule | Knightian uncertainty | Indicator function | Abraham Wald | Ellipsoid | Minimax | Stability radius | Markov chain Monte Carlo | Dynamic programming | Margin of error | Decision theory | Game theory | Decision rule | List of mathematical probabilists | Robust optimization | Sensitivity analysis | Uncertainty | Ball (mathematics) | Robust statistics | Satisficing | Bayesian probability | Simplex algorithm | Nash equilibrium | Axiom | Wald's maximin model | Bayesian inference | Bounded rationality | Linear programming