Webinars, Seminars, Tutorials, Examples, & Case Studies

Webinar: From Narratives to Networks

Transforming Textual Feedback from Consumers into Causal Bayesian Networks with BayesiaLab and Hellixia. Recorded on Thursday, January 30, 2025.

Webinar: Discovering Complex Causal Structures with Hellixia

In this webinar, you'll learn about a new approach to causality analysis using, BayesiaLab's new GenAI assistant. Recorded on January 25, 2024.

Webinar: Harnessing Hellixia: Innovations in Bayesian Belief Network Construction

This presentation showcases Hellixia, BayesiaLab's GenAI assistant, as a powerful tool for Bayesian network modeling. Recorded on December 14, 2023

Webinar: Using BayesiaLab's REST API for Diagnosing COVID-19 with a Smartphone App

In this webinar, we explain all the development steps from the initial medical knowledge elicitation to releasing a smartphone app for diagnostic decision support. Recorded on March 10, 2021

Webinar: Calculating Contributions Using Causal Counterfactuals

Recorded on June 26, 2019.

Webinar: Causality and Certainty in Criminal Sentencing

We examine the data of federal criminal cases related to drug trafficking received by the United States Sentencing Commission with sentencing dates between 1996 and 2011. Recorded on May 4, 2018.

Webinar: Technical Diagnosis and Repair Optimization with Bayesian Networks

We present a methodology that continuously optimizes the sequence of diagnostic steps given observations to reach a technical diagnosis in the most direct way and at the lowest cost. Recorded on August 17, 2018.

Webinar: Diagnostic Decision Support for Coronary Artery Disease

We illustrate how Bayesian networks can serve as a practical tool for optimizing the sequence of diagnostic steps to arrive at a medical diagnosis quickly and cost-efficiently. Recorded on February 9, 2018.

Webinar: Marketing Mix Optimization

The webinar explains why media mix optimization requires causal modeling rather than purely predictive approaches. Recorded on April 4, 2018

Webinar: Analyzing Capital Flows of Exchange-Traded Funds

We use BayesiaLab's unsupervised learning algorithms to perform high-dimensional knowledge discovery. Recorded on April 13, 2018

Webinar: Analyzing the 2016 General Social Survey

We explore the high-dimensional relationships between hundreds of variables from the 2016 General Social Survey. Recorded on February 16, 2018.

Webinar: Beyond Effect Sizes — Using BayesiaLab's Target Dynamic Profile

We show how Target Dynamic Profile can identify the order in which key drivers should be improved to maximize overall satisfaction. Recorded on November 12, 2019.

Webinar: Black Swans & Bayesian Networks

This webinar presents Bayesian networks as a framework for combining data-driven insights with expert knowledge to model both common and rare events. Recorded on July 19, 2019

Webinar: Differential Diagnosis of Diseases

In this webinar, we present Bayesian networks as a framework for encoding knowledge about diseases and symptoms. Recorded on March 20, 2020.

Webinar: Differential Diagnosis of COVID-19

This webinar introduces our collaborative knowledge elicitation project for the differential diagnosis of COVID-19 and influenza-like diseases. Recorded on March 26, 2020.

Webinar: Factor Analysis Reinvented — Probabilistic Latent Factor Induction

This webinar compares a traditional statistical factor analysis with BayesiaLab's new workflow for Probabilistic Latent Factor Induction using a psychometric example. Recorded on June 29, 2018.

Webinar: Geographic Optimization with BayesiaLab

In this webinar, we present a complete modeling workflow from acquiring raw travel data to presenting the optimization results on Google Maps. Recorded on May 18, 2018.

Webinar: Optimizing Health Policies for Malaria and Pneumonia Treatment

We develop a Bayesian network model for establishing optimal treatment guidelines under extreme uncertainty. Recorded on June 1, 2018.

Webinar: Probabilistic Reasoning Under Uncertainty

This webinar presents a workflow for encoding expert knowledge and subsequently performing omnidirectional probabilistic inference in the context of a real-world reasoning problem. Recorded on March 2, 2018.

Webinar: Quantifying Product Cannibalization

In this webinar, we present a comprehensive approach for quantifying cannibalization both with and without data. Recorded on March 23, 2018.

Webinar: Reasoning About Energy Reliability and Renewable Energy

We machine-learn probabilistic relationships from historical energy and climate data and then enrich the Bayesian network with nodes representing solar and wind physics to evaluate energy reliability. Recorded on May 14, 2020.

Webinar: Risk Management Without Data

The purpose of our webinar is to present Bayesian networks as a framework through which we can formally reason about a problem domain even without any data. Recorded on March 9, 2018.

Webinar: Scenario Assessment with the WebSimulator

In this webinar, we develop a WebSimulator that allows decision-makers to experiment with assumptions for business planning purposes, such as sales forecasts, inventory levels, cost estimates, etc. Recorded on January 17, 2019.

Webinar: Simulation-Meta-Modeling

We machine-learn a Bayesian network meta-model from previously computed simulation data and capture the relationships between parameters and target variables entirely nonparametrically. Recorded on February 21, 2019.

Webinar: Spatial Modeling with Bayesian Networks

In this webinar, we show how to compute the distributions of distances for any arbitrary positioning of individuals in any type of space. Recorded on April 30, 2020.

Webinar: What is Importance?

We attempt to develop an intuition for a range of concepts relating to 'importance' using machine-learned Bayesian network models. Our objective is to understand in which contexts what measures of importance are most appropriate to use. Recorded on August 28, 2019.

Seminar: Artificial Intelligence for Research, Analytics, and Reasoning

In this workshop, we illustrate how scientists in many fields of study can employ Bayesian networks as a practical form of Artificial Intelligence for exploring complex problems. Recorded on September 6, 2017.

Seminar: Intelligence Analysis With Artificial Intelligence

In this seminar, we demonstrate how the intelligence community can enhance its intelligence products by using Bayesian concepts and 'human-machine teaming' with Bayesian networks. Recorded on September 11, 2018.

Seminar: Knowledge Elicitation & Geopolitical Reasoning Under Extreme Uncertainty

In this workshop, we demonstrate how to elicit human knowledge for developing a high-dimensional model of an underlying problem domain in the form of a Bayesian network. Recorded on December 13, 2018.

Seminar: Bayesian Networks for Health Economics and Public Policy Research

This seminar illustrates how Bayesian networks can serve as a powerful modeling and reasoning framework for health economics research and public policy development. Recorded on November 15, 2018.