Empirical Techniques for Enhanced Predictive Modeling: Beyond Traditional ARMA
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. A Non-Parametric Approach for Robust Forecasting and Data Analysis Across Domains Photo by XinYing Lin on Unsplash The ARMA model is a …
Exploring Causal Decision Theory Approach with Quantile Regression
Author(s): Shenggang Li Originally published on Towards AI. Using AI and Causal Decision Theory to Prioritize Restocking: Balancing Demand, Inventory Risk, and Product Importance This member-only story is on us. Upgrade to access all of Medium. Photo by Louis Hansel on Unsplash …
Stock Prices: Predictable Patterns or Pure Chance?
Author(s): Shenggang Li Originally published on Towards AI. Statistical Analysis of Stock Market Trends Across Bull and Bear Phases, Uncovering When and How Market Conditions Shape Predictability This member-only story is on us. Upgrade to access all of Medium. Photo by Helena …
AI-Driven Decision Making: Comparing Markov Decision Process and Reinforcement Learning
Author(s): Shenggang Li Originally published on Towards AI. How Trump and Harris Could Use MDP and RL to Maximize Their Chances in the 2024 Election This member-only story is on us. Upgrade to access all of Medium. Photo by Chad Stembridge on …
A Mixture Model Approach for Clustering Time Series Data
Author(s): Shenggang Li Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Time Series Clustering Using Auto-Regressive Models, Moving Averages, and Nonlinear Trend Functions Photo by Ricardo Gomez Angel on Unsplash Clustering time series …
Time Series Forecasting with Genetic Algorithms: A Novel Approach
Author(s): Shenggang Li Originally published on Towards AI. Exploring How Genetic Algorithms Can Adapt and Improve Time Series Predictions Beyond Traditional Methods This member-only story is on us. Upgrade to access all of Medium. Photo by Andrea De Santis on Unsplash In …
Bayesian Methods: From Theory to Real-World Applications
Author(s): Shenggang Li Originally published on Towards AI. A Practical Guide to Using Bayesian Techniques in A/B Testing and Uplift Modeling This member-only story is on us. Upgrade to access all of Medium. Photo by Mike Hindle on Unsplash The Bayesian approach …
Optimizing Supply Chain with Time Series Forecasting: A Customer-Centric Approach
Author(s): Shenggang Li Originally published on Towards AI. Using the Repurchase Predictive Model for Product Demand Forecasting This member-only story is on us. Upgrade to access all of Medium. Photo by iStrfry , Marcus on Unsplash In this paper, I explore a …
Solving Complex Business Problems with Mixed-Integer Linear Programming
Author(s): Shenggang Li Originally published on Towards AI. A Practical Exploration of MILP Applications: From Workforce Optimization to Financial Planning and Beyond This member-only story is on us. Upgrade to access all of Medium. Photo by Ruth H Curtis on Unsplash If …
Dynamic Time Series Model Updating
Author(s): Shenggang Li Originally published on Towards AI. Enhancing Forecast Accuracy with Incremental Adjustments Without Rebuilding Models This member-only story is on us. Upgrade to access all of Medium. Photo by Mika Baumeister on Unsplash Imagine you run an online store with …
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