預測評分
Epistemic Uncertainty in AI Models: What It Is and Why It Matters
Learn what epistemic uncertainty means in AI models, how it differs from aleatoric uncertainty, and why it matters for trustworthy, transparent AI systems.
閱讀時間 7 分鐘8 個章節
文章
NeuPortal 量化實驗室
關於 AI 代理、回測與市場預測稽核，以及平台架構的研究。
所有發表 · 132
機率思維
Frequentist vs Bayesian Probability: A Clear Guide for Modern Thinkers
Understand frequentist vs Bayesian probability — two frameworks for reasoning under uncertainty, and why the difference matters in AI and markets.
閱讀時間 8 分鐘8 個章節
預測評分
What Is Calibration in Forecasting? A Clear Guide to Measuring Predictive Confidence
Calibration measures whether your stated confidence matches reality. Learn what it means in forecasting, why it matters in markets, and how to improve it.
閱讀時間 8 分鐘10 個章節
預測市場
How to Interpret Prediction Market Odds: A Clear-Headed Guide
Learn how prediction market odds work, what they truly signal, and how to read them clearly — without mistaking implied probability for certainty.
閱讀時間 8 分鐘9 個章節
預測評分
How to Evaluate a Forecasting Model: A Practical Framework for Markets
Learn how to evaluate a forecasting model — from error metrics and backtesting to overfitting, calibration, and transparency. A practical framework.
閱讀時間 8 分鐘9 個章節
機率思維
Risk vs. Uncertainty: Why the Distinction Changes Everything in Markets
Risk and uncertainty are not the same thing. Learn the Knightian distinction, why markets conflate them, and what it means for AI-assisted decision-making.
閱讀時間 7 分鐘8 個章節
加密貨幣與市場
What Is Liquidity in a Market? A Clear Guide for Modern Traders
Liquidity defines how easily assets trade without moving prices. Learn what market liquidity means, why it matters, and how AI is reshaping it.
閱讀時間 8 分鐘8 個章節
預測市場
Prediction Markets and Elections: What the Crowd Knows That Polls Don't
How do prediction markets forecast elections — and when do they outperform traditional polls? A clear, educational breakdown for curious minds.
閱讀時間 7 分鐘8 個章節
預測評分
How Forecasters Measure Accuracy: The Metrics That Actually Matter
Learn how forecasters measure accuracy using MAE, RMSE, Brier scores, and calibration. A clear, practical guide for thinking critically about predictions.
閱讀時間 7 分鐘9 個章節
預測評分
What Is a Brier Score? A Clear Guide to Measuring Prediction Accuracy
Learn what a Brier score is, how it's calculated, and why it's the gold standard for evaluating probabilistic predictions in AI and markets.
閱讀時間 7 分鐘9 個章節
模型陷阱
Overfitting Explained Simply: Why AI Models Can Memorize Instead of Learn
Learn what overfitting is, why it silently breaks AI models in financial markets, and why transparency is the most honest defense against it.
閱讀時間 7 分鐘8 個章節
機率思維
Signal vs Noise in Market Data: What Every Serious Trader Needs to Understand
Markets generate endless data. The challenge is knowing what matters. Signal vs noise in market data — and why transparency changes everything.
閱讀時間 8 分鐘8 個章節
