Watch Dan Zoppo’s webinar on the powerful Least Squares Monte Carlo method for real options problems that can add value to a businesses.
Lonnie Chrisman
Lonnie Chrisman is Lumina's Chief Technical Officer, where he heads engineering and development of Analytica. He has a PhD in Artificial Intelligence and Computer Science from Carnegie Mellon University and a Bachelor’s degree in Electrical Engineering from University of California at Berkeley.
Author Posts
Analysis for finance & decision professionals
How to use Analytica Cloud Platform (ACP)
How to use Analytica Cloud Platform (ACP) to its full potential with our CEO Max Henrion.
Could humans lose control over advanced AI?
Researchers used Analytica’s influence diagrams to map out arguments and scenarios exploring risks with artificial intelligence (AI).
Decision making when there is little historic precedent
Learn how to make decisions and strategic plans in uncertain situations, where historical data is not available. See how to model this in Analytica with clarity and insight.
Making jet fuel from the sun & wind
Learn more on how Evan Sherwin employed an optimization-based techno-economic analysis, implemented in Analytica, to assess the prospects for large cost reductions.
Latin hypercube vs. Monte Carlo sampling
In a post on LinkedIn, David Vose argues that the advantages of Latin Hypercube sampling (LHS) over Monte Carlo are so minimal that “LHS does not deserve a place in modern…
The value of knowing how little you know
Understand the Expected Value of Including Uncertainty (EVIU), compare with the Expected Value of Perfect Information (EVPI), and the insights it gives into a variety of problems.
How utilities are reducing risks & saving money
Learn about the Risk Spend Efficiency (RSE) framework, how California utilities have been using it, and RSE within ANAGRAM (Analytica for Natural Gas Risk Analysis and Management).
