Blog Archives

Matrix Factorization Comes in Many Flavors: Components, Clusters, Building Blocks and Ideals

August 6, 2015
By
Matrix Factorization Comes in Many Flavors: Components, Clusters, Building Blocks and Ideals

Unsupervised learning is covered in Chapter 14 of The Elements of Statistical Learning. Here we learn about several data reduction techniques including principal component analysis (PCA), K-means clustering, nonnegative matrix factorization (NMF) ...

Read more »

Sensemaking in R: A Plenitude of Models Makes for Good Storytelling

August 3, 2015
By
Sensemaking in R: A Plenitude of Models Makes for Good Storytelling

"Sensemaking is a motivated, continuous effort to understand connections (which can be among people, places, and events) in order to anticipate their trajectories and act effectively."- Gary Klein, Brian Moon & Robert HoffmanMaking Sense of Sensema...

Read more »

But I Don’t Want to Be a Statistician!

July 29, 2015
By
But I Don’t Want to Be a Statistician!

"For a long time I have thought I was a statistician.... But as I have watched mathematical statistics evolve, I have had cause to wonder and to doubt.... All in all, I have come to feel that my central interest is in data analysis...."Opening paragrap...

Read more »

Statistical Models of Judgment and Choice: Deciding What Matters Guided by Attention and Intention

July 27, 2015
By
Statistical Models of Judgment and Choice: Deciding What Matters Guided by Attention and Intention

Preference begins with attention, a form of intention-guided perception. You enter the store thirsty on a hot summer day, and all you can see is the beverage cooler at the far end of the aisle with your focus drawn toward the cold beverages that you im...

Read more »

"Models, Models Everywhere!" Brought to You by R

July 21, 2015
By
"Models, Models Everywhere!" Brought to You by R

Statistical software packages sell solutions. If you go to the home page for SAS, they will tell you upfront that they sell products and solutions. They link both together under the first tab just below "The Power to Know" mantra. SPSS separates produc...

Read more »

Seeing Data as the Product of Underlying Structural Forms

July 15, 2015
By
Seeing Data as the Product of Underlying Structural Forms

Matrix factorization follows from the realization that nothing forces us to accept the data as given. We start with objects placed in rows and record observations on those objects arrayed along the top in columns. Neither the objects nor the measuremen...

Read more »

The Ecology of Local Subspaces: Mixtures of Parochial Views

July 9, 2015
By
The Ecology of Local Subspaces: Mixtures of Parochial Views

No matter where you live, your view of the world is biased and limited, which is the beauty of this magazine cover.As a marketer, of course, all my maps depict, not place, but consumption. For example, in an earlier post I asked, "What apps are on your...

Read more »

Regression with Multicollinearity Yields Multiple Sets of Equally Good Coefficients

July 6, 2015
By
Regression with Multicollinearity Yields Multiple Sets of Equally Good Coefficients

The multiple regression equation represents the linear combination of the predictors with the smallest mean-squared error. That linear combination is a factorization of the predictors with the factors equal to the regression weights. You may see the wo...

Read more »

The Nature of Heterogeneity in Coevolving Networks of Customers and Products

July 3, 2015
By
The Nature of Heterogeneity in Coevolving Networks of Customers and Products

The genre shirt asks, "What kind of music do u listen 2?"Microgenres exist because markets are fragmenting and marketers need names to attract emerging customer segments with increasingly specific preferences. The cost of producing and delivery music n...

Read more »

Generalizing from Marketing Research: The Right Question and the Correct Analysis

June 28, 2015
By
Generalizing from Marketing Research: The Right Question and the Correct Analysis

The marketing researcher asks some version of the following question in every study, "Tell me what you want?" The rest is a summary of the notes taken during the ensuing conversation.Steve Jobs' quote suggests that we might do better getting a reaction...

Read more »