If you build and train a model that explains observations under one set of rules, and then you change the rules, the parameters in your model are probably wrong
Nobel prize winner Ben Bernanke has written about real options
DPL's Influence Diagram and Decision Tree are used to analyze the classic Monty Hall problem
Larry Neal and Carl Spetzler penned an article in Harvard Business Review explaining Chevron's multi-decade commitment to Decision Quality, of which Decision Analysis is a key part
Learn how to embed your DPL Workspace in your Excel Workbook -- a convenience features that results in a single file to keep track of
The humble tornado diagram is disarmingly simple but can be surprisingly difficult to do right
Some key FAQ's and a few helpful sources regarding 32-bit and 64-bit applications
Syncopation's top highlights and lowlights of INFORMS Annual Meeting 2014 in San Francisco
The Almanac Exercise is a probability assessment game well known within Decision Analysis circles. Give it a try and see how well you do at assessing ranges.
When it comes to modelling uncertainty, there are two kinds of people: discrete decision tree people and continuous Monte Carlo simulation people. But which is better?