Transcending The Least Squares
Fyodor V. Tkachov

TL;DR
The paper introduces the method of quasi-optimal weights as a versatile and asymptotically optimal alternative to least squares, effective for complex non-linear and non-Gaussian problems.
Contribution
It presents a comprehensive framework that generalizes least squares, offering improved optimality and flexibility for a wide range of statistical modeling scenarios.
Findings
Quasi-optimal weights achieve asymptotic optimality.
The method is transparent and adaptable to non-linear, non-Gaussian cases.
Provides a general alternative to traditional least squares methods.
Abstract
The method of quasi-optimal weights provides a comprehensive, asymptotically optimal, transparent and flexible alternative to the least squares method. The optimality holds for a general non-linear, non-gaussian case.
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Taxonomy
TopicsMonetary Policy and Economic Impact · Statistical and numerical algorithms
