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Challenging the Conventional Wisdom of Statistics in Complex Adaptive Systems – Beware of Idealised Models - The Algorithmic Advantage
In the ever-evolving landscape of financial markets, the application of traditional statistical models, such as the Central Limit Theorem (CLT), often proves to be inadequate for capturing the complexities of complex adaptive systems (CAS). These systems, which are a hallmark of financial markets, defy the conventional assumptions of linearity, independence, identical distribution, and stationarity, which […]
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Challenging the Conventional Wisdom of Statistics in Complex Adaptive Systems – Beware of Idealised Models - The Algorithmic Advantage
In the ever-evolving landscape of financial markets, the application of traditional statistical models, such as the Central Limit Theorem (CLT), often proves to be inadequate for capturing the complexities of complex adaptive systems (CAS). These systems, which are a hallmark of financial markets, defy the conventional assumptions of linearity, independence, identical distribution, and stationarity, which […]
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Challenging the Conventional Wisdom of Statistics in Complex Adaptive Systems – Beware of Idealised Models - The Algorithmic Advantage
In the ever-evolving landscape of financial markets, the application of traditional statistical models, such as the Central Limit Theorem (CLT), often proves to be inadequate for capturing the complexities of complex adaptive systems (CAS). These systems, which are a hallmark of financial markets, defy the conventional assumptions of linearity, independence, identical distribution, and stationarity, which […]
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