The Fallacy of Single-Point Forecasts
Better and Broader Scenario Assessment with BayesiaLab's New WebSimulator
Recorded on January 17, 2019.
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. More specifically, we create a Bayesian network model that explicitly accounts for the uncertainty in all assumptions as opposed to utilizing single-point forecasts. This Bayesian network serves as the inference engine that drives the WebSimulator output.
Given the Bayesian network, we can also use BayesiaLab's Policy Learning function to formally search for optimal decisions in the presence of uncertainty. Importantly, any such "machine-learned solutions" can be easily replicated by stakeholders, who can individually try out various alternative assumptions and policy scenarios in the WebSimulator
- Presentation Slides (PDF, 15 MB)
- Case Study Demo Network (XBL, 291 KB)
- Case Study Demo Network, Base & Premium Scenario (XBL, 190 KB))
When the original BayesiaLab WebSimulator was introduced in February of 2015, it has opened up Bayesian networks models to a much broader audience. The BayesiaLab WebSimulator allows you to publish interactive models via the web, without having to install any additional software on the end user's side. Any Bayesian network model built with BayesiaLab can be instantly shared, either privately and securely with clients, or publicly with the wider world.
"Version 1" of the WebSimulator turned out to be a huge success, and it rapidly became an integral part of research workflows. With its growing popularity, however, BayesiaLab users have been developing applications that required greater flexibility and a more sophisticated web interface for the end user.
With the recent release of BayesiaLab 8, we also introduced an updated WebSimulator. Entirely new is the WebSimulator Editor inside BayesiaLab 8, which allows you to design and configure an elaborate web interface with many customizable elements, including bar charts, gauges, etc. Plus, you can immediately review its final appearance with a new preview function.
In this webinar, we will demonstrate all the new features of the WebSimulator by taking you through a complete workflow, from model development to publishing the model via the Bayesia WebSimulator Server.
|At your convenience||On your desktop/laptop||Introductory Course (60-Day Self-Study Edition)|
|At your convenience||On your desktop/laptop||Advanced Course (60-Day Self-Study Edition)|
|March 24–26, 2020 — CANCELLED||Boston, MA, USA||3-Day Introductory Course|
|April 7–9, 2020 — CANCELLED||Paris, France||3-Day Introductory Course|
|May 6–8, 2020||Seattle, WA, USA||3-Day Introductory Course|
|May 11–13, 2020||Seattle, WA, USA||3-Day Advanced Course|
|June 15–17, 2020||Paris, France||3-Day Advanced Course|
|October 5–7, 2020||Toronto, ON, Canada||3-Day Introductory Course|
|October 13–15, 2020||Toronto, ON, Canada||3-Day Advanced Course|
Seminars, Webinars, and Conferences
|March 20, 2020||Free Webinar||Reasoning Under Uncertainty (Part 1): Differential Diagnosis of Diseases|
|March 26, 2020||Free Webinar||Reasoning Under Uncertainty (Part 2): Epidemic Modeling with Temporal Bayesian Networks|
|Please check out our archive of recordings of previous events in the BayesiaLab Community.|