Series: 60-Day Gamble: Part 3Business Decision Science
When Silence Becomes Evidence
BA02.[App. 2] The Paradox of Silence: Entropy and the Geometry of Logarithmic Weighting
- Bayesian
- Likelihood
- Logarithmic Weighting
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Business Decision Science
Page 5 of 537 articles in Business Decision Science
Series: 60-Day Gamble: Part 2Business Decision Science
Turning Sales Evidence into a Live Probability
This article explains the mathematical principles and effectiveness of the Bayesian engine covered in the [BA02 Episode]. The goal is to precisely predict sales success probabilities in an uncertain business environment. At its core, it addresses the process of deriving optimal decision-making indicators by combining the Beta distribution, which quantifies past experiences, and the Binomial distribution, which captures real-time signals from the field. In particular, it emphasizes maximizing the system’s real-time performance and computational efficiency by utilizing Conjugate Prior distributions, which allow for immediate updates without complex calculations. Furthermore, this model adopts a Recursive Estimation method that makes immediate judgments whenever data occurs, securing technical validity optimized for modern business. Consequently, this document clearly demonstrates how sophisticated mathematical modeling transforms vague intuition into reliable, data-driven insights.
- Bayesian
- Bayes Factor
- Bayesian Update
Series: 60-Day Gamble: Part 1Business Decision Science
The Invisible Hand of Sales: 60 Days of Win Probability Tracked with a Bayesian Engine
An ExaWin+ decision case that updates field observations and customer responses as Bayesian evidence, tracks win probability over 60 days, and allocates limited sales resources to better customers and actions.
- Bayesian
- BayesFactor
- BayesianUpdate
Series: Reinforcement Learning Foundations: Part 1Business Decision Science
The History of Reinforcement Learning: From the Bellman Equation to Deep Reinforcement Learning
I chose Reinforcement Learning (RL) as the first topic of this blog because of my personal interest in a field that has developed from classical theory along a different trajectory from rapidly advancing deep learning and LLM AI agents, while continuing to influence the real world, and because reinforcement learning is also being integrated into Exa-Solution, Exavion’s extended ERP and AI-integrated enterprise application.
- AI
- Reinforcement Learning
- RL
Series: Reinforcement Learning Foundations: Part 2Business Decision Science
Reinforcement Learning Before Mathematics: From Behavioral Experiments to MDP
Many learners who are new to Reinforcement Learning struggle early on because they do not clearly understand the conceptual difference and relationship between the Markov Decision Process (MDP) and Reinforcement Learning (RL). To reduce this confusion, it is necessary to first clarify how the two concepts are related.
- AI
- Reinforcement Learning
- RL