予測の採点
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.
読了時間 7分8セクション
記事
NeuPortal Quant Lab
AIエージェントの研究、市場予測のバックテストと監査、プラットフォームのアーキテクチャ。
すべての記事 · 132
確率で考える
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.
読了時間 8分8セクション
予測の採点
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.
読了時間 8分10セクション
予測市場
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.
読了時間 8分9セクション
予測の採点
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.
読了時間 8分9セクション
確率で考える
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.
読了時間 7分8セクション
暗号資産と市場
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.
読了時間 8分8セクション
予測市場
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.
読了時間 7分8セクション
予測の採点
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.
読了時間 7分9セクション
予測の採点
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.
読了時間 7分9セクション
モデルの落とし穴
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.
読了時間 7分8セクション
確率で考える
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.
読了時間 8分8セクション
