301 search results for "market research"

CausalImpact: A new open-source package for estimating causal effects in time series

September 10, 2014
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CausalImpact: A new open-source package for estimating causal effects in time series

How can we measure the number of additional clicks or sales that an AdWords campaign generated? How can we estimate the impact of a new feature on app downloads? How do we compare the effectiveness of publicity across countries?In principle, all of these questions can be answered through causal inference.In practice, estimating a causal effect...

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ChainLadder 0.1.8 released

August 26, 2014
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ChainLadder 0.1.8 released

Over the weekend we released version 0.1.8 of the ChainLadder package for claims reserving on CRAN. What is claim reserving?The insurance industry, unlike other industries, does not sell products as such but promises. An insurance policy is a promise by the insurer to the policyholder to pay for future claims for an upfront received premium. As a result...

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Continuous or Discrete Latent Structure? Correspondence Analysis vs. Nonnegative Matrix Factorization

August 25, 2014
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Continuous or Discrete Latent Structure? Correspondence Analysis vs. Nonnegative Matrix Factorization

A map gives us the big picture, which is why mapping has become so important in marketing research. What is the perceptual structure underlying the European automotive market? All we need is a contingency table with cars as the rows, attributes as the ...

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David Smith, the useR! 2014 Interview

August 25, 2014
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David Smith, the useR! 2014 Interview

“At one point, the only source for daily R news was David Smith’s blog.” —...

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Reasonable Inheritance of Cluster Identities in Repetitive Clustering

August 15, 2014
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Reasonable Inheritance of Cluster Identities in Repetitive Clustering

… or Inferring Identity from Observations Let’s assume the following application: A conservation organisation starts a project to geographically catalogue the remaining representatives of an endangered plant species. For that purpose hikers are encouraged to communicate the location of the plant … Continue reading →

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Visit of Di Cook

August 12, 2014
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Visit of Di Cook

Next week, Professor Di Cook from Iowa State University is visiting my research group at Monash University. Di is a world leader in data visualization, and is especially well-known for her work on interactive graphics and the XGobi and GGobi software. See her book with Deb Swayne for details. For those wanting to hear her speak, read on. Research seminar She...

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Exploiting Heterogeneity to Reveal Consumer Preference: Data Matrix Factorization

August 11, 2014
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Exploiting Heterogeneity to Reveal Consumer Preference: Data Matrix Factorization

We begin with a data matrix, a set of numbers arrayed so that each row contains information from a different consumer. Marketing research focuses on the consumer, but the columns are permitted more freedom, although they ought to tell us something abou...

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What your twitter friends say about you and your interests

August 10, 2014
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What your twitter friends say about you and your interests

This post is first in a series that looks at the inferences you can make using social media data. The …Continue reading →

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The Open Source R Programming Language is Becoming Pervasive

August 8, 2014
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So says CIO.com, in a recent article 11 Market Trends in Advanced Analytics. R, an open source programming language for computational statistics, visualization and data is becoming a ubiquitous tool in advanced analytics offerings. Kirsch says nearly every top vendor of advanced analytics has integrated R into their offering and so that they can now import R models. This...

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Customer Segmentation Using Purchase History: Another Example of Matrix Factorization

August 2, 2014
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Customer Segmentation Using Purchase History: Another Example of Matrix Factorization

As promised in my last post, I am following up with another example of how to perform market segmentations with nonnegative matrix factorization. Included with the R package bayesm is a dataset called Scotch containing the purchase history for 21 brands of whiskey over a one year time period from 2218 respondents. The brands along with some features...

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