Voice of the Publisher

Volume 8, Issue 1 (March 2022)

ISSN Print: 2380-7571   ISSN Online: 2380-7598

Google-based Impact Factor: 0.45  Citations  

Conditionalism as a Methodology of Forecasting, Decision-Making and Machine Learning

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DOI: 10.4236/vp.2022.81001    164 Downloads   680 Views  
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ABSTRACT

We examine how conditionality inherent to the real-life training data sets influences forecasting and decision-making by analyzing examples that range from behavioral logic to machine learning. For machine learning or other systematic methods, we outline a process-driven approach to better navigate and improve decisions in situations with obscure or difficult to capture conditionality. We outline implementation of these techniques in a portfolio management engine.

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Krakovsky, A. (2022) Conditionalism as a Methodology of Forecasting, Decision-Making and Machine Learning. Voice of the Publisher, 8, 1-9. doi: 10.4236/vp.2022.81001.

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