In This Space
Our series of white papers provides an overview of a wide range Bayesian network applications. We have written all of these white papers tutorial-style, so you can easily replicate all examples on your own computer.
- Introduction to Bayesian Networks and BayesiaLab
- Paradoxes and Fallacies
- Causal Inference with Bayesian Networks
- Causality for Policy Assessment and Impact Analysis
- Knowledge Modeling and Probabilistic Reasoning with Bayesian Networks
- Knowledge Discovery in the Stock Market
- Breast Cancer Diagnostics with Bayesian Networks
- Microarray Analysis with Bayesian Networks
- Missing Values Processing with Bayesian Networks
- Driver Analysis and Product Optimization
- Probabilistic Latent Factor Induction with BayesiaLab
- Optimizing Customer Loyalty
- Vehicle Size, Weight, and Injury Risk
- Marketing Mix Models with BayesiaLab
- Modeling Vehicle Choice and Simulating Market Share with Bayesian Networks
We have also recorded a series of webinars, in which we explain all steps from the white papers in greater detail and provide additional context.
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