📄 文章列表

13 篇文章
TDS

Why Parameter Count Is Not Model Complexity: An Introduction to Effective Dimension

✅ completed ⭐ ☆☆☆☆☆ 2026-10-23
TDS

Three Samplers, One Posterior: NUTS vs. Emcee vs. Nested Sampling

✅ completed ⭐ ☆☆☆☆☆ 2026-10-15
TDS

Bayesian Guardrails for AI Decisions: Measuring Uncertainty Before Automating Decisions

✅ completed ⭐ ☆☆☆☆☆ 2026-08-21
TDS

The Role of Luck in Sports: Can We Measure It?

✅ completed ⭐ ★★★★★★ 2025-06-06
TDS

10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC

✅ completed ⭐ ★★★★★★ 2025-06-10
TDS

The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction & AIXI

✅ completed ⭐ ★★★★★★ 2025-09-22
TDS

Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to Plan Them)

✅ completed ⭐ ★★★★★★ 2025-09-23
TDS

Are Foundation Models Ready for Your Production Tabular Data?

✅ completed ⭐ ★★★★★★ 2025-10-01
TDS

Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options

✅ completed ⭐ ★★★★★★ 2026-01-07
TDS

Democratizing Marketing Mix Models (MMM) with Open Source and Gen AI

✅ completed ⭐ ★★★★★★ 2026-04-07
TDS

How to Mathematically Choose the Optimal Bins for Your Histogram

✅ completed ⭐ ★★★★★★ 2026-05-23
TDS

Solving a Murder Mystery Using Bayesian Inference

✅ completed ⭐ ★★★★★★ 2026-05-31
TDS

My SciPy ODE Solver Was Killing My Bayesian Inference: A Cosmologist’s Honest Account of Discovering Diffrax

✅ completed ⭐ ★★★★★★ 2026-06-06