Bayesian Network Analysis of Cigarette Smoking and E-cigarette Use in U.S. Population Samples

Unifying Frameworks for Reward-Aversion Judgment: A Bayesian Analysis

Hellixia & Generative AI: Creating Semantic and Causal Bayesian Networks for Decision Support

Transforming Paper Product Quality and Machine Performance with Machine Learning & Bayesian Networks

Assessing & Optimizing Cyber Risk with Bayesian Networks: The Colonial Pipeline Case

Counterfactual Reasoning Using Bayesian Networks for Environmental Policy Analysis

An Application of Dynamic Bayesian Networks to Model Regime Shifts and Changepoint Processes

Leverage GenAI and Causal Inference to Disrupt Innovation

Introducing BayesiaLab 10

Discovering Complex Causal Structures with Hellixia

Webinar: Harnessing Hellixia: Innovations in Bayesian Belief Network Construction

Nicolas Clerk: Monthly Sales & Operation Planning Process

Mathieu Le Tertre & Charles Gomes: Not enough data yet? What about expertise?

Corey Neskey: Cybersecurity with Bayesian Networks

Lisa Hilquist and Sri Srikanth: Aggregate Mindshare

Michael Thompson: Bayesian Networks for Recommender Systems

Wilson: Lessons from Causal Analysis — Policy Implications for Woodland Caribou Recovery in Canada

Steven Frazier: The Role of Collider Bias in Understanding Statistics on Racially-Biased Policing

Martin Plajner: Monotonicity in Bayesian Networks for Computerized Adaptive Testing

Ocampo, et al.: Applying Bayesian Networks to Help Physicians Diagnose Respiratory Diseases

Daniel Ramos: Dynamic Bayesian Networks for Temporal Prediction of Chemical Radioisotope Levels

Marcello Di Bello: Cross-examination with Bayesian Networks

Kurt Schulzke: Modeling the Risk of Material Misstatement of Current Expected Credit Losses

Emma Puranen: Mapping Changes in Science Fiction Worldbuilding in Response to Scientific Discovery

Silja Renooij: Persuasive Contrastive Explanations

Georg Schnabel: Nuclear Data Evaluation with Bayesian Networks

Hussein Jouni: A Meta-Model for Predicting the Quality of Knowledge Elicitation Sessions

Gabriel Andraos: From Explanation to Interpretations: Bayesian Networks for Extracting Knowledge

Yong Zhang: Driver Analysis Using Topics Derived From Unstructured Textual Data

Chirilov, Pitcher, & Surma: Shapley Value Regression vs. Bayesian Networks