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Knowledge Discovery in Financial Data with
Bayesian Networks and BayesiaLab

Tuesday, June 19, 2018, 2:00 p.m. – 5:00 p.m.
DePaul University, Loop Campus, Room 8010, 1 East Jackson Blvd, Chicago, IL 60604

Given the popularity of our S&P 500 example for unsupervised learning, which we have used in countless seminars over the years, we now return to studying financial markets with a brand-new seminar program.

In this seminar, we cover several of examples of supervised and unsupervised machine learning with BayesiaLab, including:

  • Fundamental Stock Analysis
  • Analyzing the Flows of 1,000+ Exchange-Traded Funds
  • Time Series Analysis of Commodity Prices 
  • Portfolio Risk Assessment Without Data

Our objective is to demonstrate that Bayesian networks are an ideal framework for exploring, understanding, and communicating complex problem domains. The inherently visual nature of Bayesian networks can be leveraged through BayesiaLab 2D, 3D, and VR visualizations, all of which we plan to showcase at the seminar.

 

Seminar Overview

  • Big Data & Artificial Intelligence, their promise and their limitations for research
  • Map of Analytic Modeling
    • Purpose of Models: Prediction vs. Explanation
    • Source of Models: Data vs. Theory
  • Why Bayesian Networks?
    • Joint Probability Distribution
    • Inference through conditioning and marginalizing
    • Independence assumptions from domain knowledge
    • Direct encoding of causal knowledge into a Bayesian network
  • Properties of Bayesian Networks
    • Compact representation of the joint probability distribution
    • No distinction between dependent and independent variables
    • Omnidirectional inference
    • Non-parametric & probabilistic
    • Causal
  • What is BayesiaLab?
  • Supervised Learning for Classification
  • Unsupervised Learning for Knowledge Discovery
    • Examples:
      • Fundamental Stock Analysis
      • Analyzing the Flows of 1,000+ Exchange-Traded Funds
      • Time Series Analysis of Commodity Prices 
      • Portfolio Risk Assessment Without Data
  • Virtual Reality Demo with the Oculus Rift
    • 3D exploration of Bayesian networks

Free Registration