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Modeling tips & tricks

Learn from our team of modeling experts and the decision analysis community on best practices for model building. Here you will find information about Analytica, as well as general tips and tricks. Topics include how to go about structuring a complex problem, how to analyze models using sensitivity and scenario analysis, and tips on selecting graphs and maps to provide clearer insights. Overall we want to guide you and your organization to be better decision makers, no matter what industry or field you work in.

For more a more comprehensive list of tutorials, user guides, videos, example models, and libraries, check out our Analytica Docs website.

Book review: decision making under uncertainty

This just-released Spanish-language textbook from Professor Jorge E Muro Arbulú has now taken its spot as my favorite textbook on …

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An Analytica advantage over MATLAB

I’m working on a model translation project for the California Energy Commission, going from MATLAB to Analytica. The transportation system model I’m working...

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Plotting over a Google Map

Here is how to display your geographic data on a Google map background.

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An optimal Valentine’s date

“You know, Valentine’s Day reminds me of the optimal stopping problem.” Not sure if this phrase was uttered elsewhere, but, this is the sort of water cooler conversations...

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How to update y = m x + b with new data

Abstract: Bayesian linear regression made super easy and intuitive! You arrive in a new city for the first time, and you’ll …

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What to do when your model results are ridiculous?

When an exhaustive scrutiny of the model code, the data and more sensitivity analyses don’t reveal why your model isn’t working, you must consider that perhaps it’s your intuition...

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Testing hypotheses about causation

In 2002, I developed a statistical framework for testing whether your data provides statistically significant support for the hypothesis that A causes B. I published only one...

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Efficient estimation of the expected value of information (EVI) using Monte Carlo

The expected value of information (EVI) lets you estimate the value of getting new information that reduces uncertainty. At first blush, it seems paradoxical that you can estimate...

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Modeling tips & tricks clients