Bayesian Network

Model Perspective

Jul 19, 2024 · Artificial Intelligence

Can Bayesian Networks Predict Public Opinion Reversals? A Practical Guide

This article explains how Bayesian Network models can be built and applied to forecast public opinion reversals, detailing the network structure, joint probability distribution, inference methods, and a Python implementation using pgmpy with sample data and analysis of key influencing factors.

Bayesian NetworkProbabilistic ModelingPublic Opinion

0 likes · 10 min read

Can Bayesian Networks Predict Public Opinion Reversals? A Practical Guide

Qunar Tech Salon

Jul 2, 2024 · Artificial Intelligence

Comprehensive Attribution Analysis Methodology and Its Business Application

This article presents a detailed attribution analysis framework—including background research, a four‑step workflow, Bayesian causal detection, Simpson's paradox handling, and real‑world case studies—demonstrating how data‑driven insights can improve conversion rates and operational efficiency across multiple business lines.

Attribution AnalysisBayesian NetworkSimpson's paradox

0 likes · 15 min read

Comprehensive Attribution Analysis Methodology and Its Business Application

DataFunTalk

Jun 27, 2022 · Artificial Intelligence

Causal Inference‑Based Attribution Methods in Feizhu Advertising Diagnosis System

This article introduces Feizhu's advertising diagnosis platform and explains how recent causal inference techniques, especially the NO TEARS algorithm and Bayesian‑network‑based attribution, are applied to identify the root causes of performance fluctuations across the ad delivery funnel, improve diagnostic accuracy, and guide optimization decisions.

Ad AttributionAdvertising DiagnosisBayesian Network

0 likes · 19 min read

Causal Inference‑Based Attribution Methods in Feizhu Advertising Diagnosis System