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Model Perspective
Model Perspective
Jan 30, 2026 · Fundamentals

Mastering Multi‑Dimensional Forecasting: From Peer Benchmarks to System‑Level Insights

This article presents a comprehensive framework for forecasting that combines peer (same‑level) comparison, bottom‑up decomposition, top‑down system thinking, time‑series analysis, causal modeling, and scenario simulation, while highlighting each method's strengths, limitations, and practical wisdom for effective decision‑making.

PredictionTime Seriescausality
0 likes · 12 min read
Mastering Multi‑Dimensional Forecasting: From Peer Benchmarks to System‑Level Insights
Model Perspective
Model Perspective
Dec 1, 2023 · Artificial Intelligence

Why Causal Graphs Matter: From Philosophy to AI Insights

This article explores the distinction between causal reasoning and conspiracy thinking, the challenges of defining causality, and how Judea Pearl's causal graph framework provides a powerful tool for AI, epidemiology, and other fields to visualize and analyze complex cause‑effect relationships.

Artificial IntelligenceJudea Pearlcausal graphs
0 likes · 10 min read
Why Causal Graphs Matter: From Philosophy to AI Insights
Huolala Tech
Huolala Tech
Nov 10, 2023 · Product Management

Mastering A/B Testing in Two‑Sided Markets: Principles, Cases, and Strategies

This article explains how to design and implement A/B experiments in complex two‑sided markets, covering core concepts of causality, detailed case studies, various allocation principles, risk‑benefit trade‑offs, and practical guidelines for selecting appropriate experimental methods across different business scenarios.

A/B testingcausalityexperiment design
0 likes · 9 min read
Mastering A/B Testing in Two‑Sided Markets: Principles, Cases, and Strategies
Model Perspective
Model Perspective
Sep 17, 2023 · Fundamentals

Why Correlation Isn’t Causation: Methods to Reveal True Relationships in Data

This article explains the difference between correlation and causation, illustrates common misconceptions with real‑world examples, and introduces statistical tools such as randomized experiments, instrumental variables, propensity score matching, and difference‑in‑differences that help researchers uncover genuine causal effects in mathematical modeling.

Statistical Modelingcausalitycorrelation
0 likes · 9 min read
Why Correlation Isn’t Causation: Methods to Reveal True Relationships in Data
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
May 23, 2022 · Fundamentals

Understanding Causality: Philosophical Foundations, Causal Networks, and Simpson’s Paradox

The article explores the concept of causality from philosophical definitions and INUS conditions to statistical approaches like Granger causality, introduces causal network structures (chain, fork, collider), and demonstrates their use in resolving Simpson’s paradox through epidemiological and medical examples.

causal networkscausalityepidemiology
0 likes · 12 min read
Understanding Causality: Philosophical Foundations, Causal Networks, and Simpson’s Paradox
DataFunSummit
DataFunSummit
Mar 16, 2021 · Artificial Intelligence

Myths and Misconceptions in Reinforcement Learning – Summary of Csaba Szepesvári’s KDD 2020 Deep Learning Day Talk

This article summarizes Csaba Szepesvári’s 2020 KDD Deep Learning Day presentation on common myths and misconceptions in reinforcement learning, covering the scope of RL, safety concerns, generalization challenges, causal reasoning, and broader meta‑considerations for the field.

GeneralizationMeta‑LearningMyths
0 likes · 16 min read
Myths and Misconceptions in Reinforcement Learning – Summary of Csaba Szepesvári’s KDD 2020 Deep Learning Day Talk
21CTO
21CTO
May 20, 2018 · Artificial Intelligence

Why Causal Reasoning Is the Missing Piece for Truly Intelligent AI

Judea Pearl, the 2011 Turing Award laureate, argues that modern AI is stuck in curve‑fitting and that true intelligence requires machines to understand cause and effect, a perspective he expands on through a series of insightful interview questions and answers.

Deep LearningJudea Pearlai
0 likes · 11 min read
Why Causal Reasoning Is the Missing Piece for Truly Intelligent AI
We-Design
We-Design
Aug 13, 2015 · Fundamentals

Is Time a Fundamental Substance? Exploring Black Holes and Causal Theories

The article philosophically examines whether time is a basic material of the universe by discussing cellular clocks, Planck time, black holes, deterministic causality, and Rafael Sorkin's causal‑set theory, highlighting paradoxes that arise when treating time as a fundamental substance.

Physicsblack holescausality
0 likes · 7 min read
Is Time a Fundamental Substance? Exploring Black Holes and Causal Theories