Publications by Joel Cadwell

BayesiaLab-Like Network Graphs for Free with R

18.12.2015

My screen has been filled with ads from BayesiaLab since I downloaded their free book. Just as I began to have regrets, I received an email invitation to try out their demo datasets. I was especially interested in their perfume ratings data. In this monadic product test, each of 1,321 French women was presented with only one of 11 per...

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Modeling How Consumers Simplify the Purchase Process by Copying Others

23.12.2015

A Flower That Fits the BillMarketing borrows the biological notion of coevolution to explain the progressive “fit” between products and consumers. While evolutionary time may seem a bit slow for product innovation and adoption, the same metaphor can be found in models of assimilation and accommodation from cultural and cognitive psychology.Th...

12242 sym R (279 sym/1 pcs) 8 img 1 tbl

Modeling How Consumers Simplify the Purchase Process by Copying Others

23.12.2015

A Flower That Fits the BillMarketing borrows the biological notion of coevolution to explain the progressive “fit” between products and consumers. While evolutionary time may seem a bit slow for product innovation and adoption, the same metaphor can be found in models of assimilation and accommodation from cultural and cognitive psychology.Th...

12242 sym R (279 sym/1 pcs) 8 img 1 tbl

A Data Science Solution to the Question "What is Data Science?"

08.01.2016

As this flowchart from Wikipedia illustrates, data science is about collecting, cleaning, analyzing and reporting data. But is it data science or just or a “sexed up term” for Statistics (see embedded quote by Nate Silver)? It’s difficult to separate the two at this level of generality, so perhaps we need to define our terms.We begin by ma...

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A Data Science Solution to the Question "What is Data Science?"

08.01.2016

As this flowchart from Wikipedia illustrates, data science is about collecting, cleaning, analyzing and reporting data. But is it data science or just or a “sexed up term” for Statistics (see embedded quote by Nate Silver)? It’s difficult to separate the two at this level of generality, so perhaps we need to define our terms.We begin by ma...

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Understanding Statistical Models Through the Datasets They Seek to Explain: Choice Modeling vs. Neural Networks

21.03.2016

R may be the lingua franca, yet many of the packages within the R library seem to be written in different languages. We can follow the R code because we know how to program but still feel that we have missed something in the translation.R provides an open environment for code from different communities, each with their own set of exem...

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Understanding Statistical Models Through the Datasets They Seek to Explain: Choice Modeling vs. Neural Networks

21.03.2016

R may be the lingua franca, yet many of the packages within the R library seem to be written in different languages. We can follow the R code because we know how to program but still feel that we have missed something in the translation.R provides an open environment for code from different communities, each with their own set of exem...

7544 sym 4 img

Choice Modeling with Features Defined by Consumers and Not Researchers

25.03.2016

Choice modeling begins with a researcher “deciding on what attributes or levels fully describe the good or service.” This is consistent with the early neural networks in which features were precoded outside of the learning model. That is, choice modeling can be seen as learning the feature weights that recognize whether the input ...

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Choice Modeling with Features Defined by Consumers and Not Researchers

25.03.2016

Choice modeling begins with a researcher “deciding on what attributes or levels fully describe the good or service.” This is consistent with the early neural networks in which features were precoded outside of the learning model. That is, choice modeling can be seen as learning the feature weights that recognize whether the input ...

6714 sym 4 img

When Choice Modeling Paradigms Collide: Features Presented versus Features Perceived

03.04.2016

What is the value of a product feature? Within a market-based paradigm, the answer is the difference between revenues with and without the feature. A product can be decomposed into its features, each feature can be assigned a monetary value by including price in the feature list, and the final worth of the product is a function of its...

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