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Forecast Accuracy Is Not Inventory Performance
Forecasting metrics evaluate predictions. Supply chains pay for decisions. A model can achieve a lower RMSE and still produce higher stockout and inventory c...
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A Technical History of Artificial Intelligence
The history of artificial intelligence is often told as a straight line from ancient automata to modern language models. That makes a good story but a poor t...
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Climate Financial Risk Beyond Traditional VaR
Climate financial risk is better treated as scenario-conditioned loss analysis than as a simple extension of short-horizon market VaR.
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Cold Days Still Belong in a Warming Climate
A warmer climate can still produce a freezing morning. The question is how the range and frequency of temperatures change, rather than whether cold weather h...
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Advanced Sequential Change-Point Detection for Univariate Models
Derive the Gaussian CUSUM from likelihood ratios, distinguish alarm time from change location, and run a complete reproducible monitoring example.
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Paths of Combinatorics and Probability
Dive into the intersection of combinatorics and probability, exploring how these fields work together to solve problems in mathematics, data science, and bey...
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Ethics of AI and Sensing in Older-Adult Care
Ethical technology for older adults requires consent, privacy, proportional monitoring, accessibility, contestability, and attention to decision-making capac...
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Combinatorics with Python: Count Before You Enumerate
Python can enumerate combinatorial objects, but combinatorics is primarily about counting without enumeration and understanding computational explosion.
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Ergodicity: Time Averages, Invariant Sets, and Mixing
Ergodicity is a precise property of a measure-preserving dynamical system. It is not merely a temporary regime, nor is chaos sufficient for ergodicity.
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The Pigeonhole Principle: Counting Forces Existence
The pigeonhole principle turns finite counting constraints into existence proofs. Its power lies in choosing the right objects and boxes.
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