265 search results for "market research"

40 Fascinating Blogs for the Ultimate Statistics Geek!

January 20, 2011
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I am happy to report that ByteMining is listed on “40 Fascinating Blogs for the Ultimate Statistics Geek“! Some of the ones that I frequently read, or are written by Twitter friends/followers (in no particular order): R-bloggers, an aggregate site containing blog posts tagged as posts about R. High quality content. Statistical modeling, causal inference and social science. This one is...

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Quantitative Finance applications in R – 7: Constructing a Term Structure of Interest Rates Using R (part 2 of 2)

July 1, 2014
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Quantitative Finance applications in R – 7: Constructing a Term Structure of Interest Rates Using R (part 2 of 2)

by Daniel Hanson Recap and Introduction Last time in part 1 of this topic, we used the xts and lubridate packages to interpolate a zero rate for every date over the span of 30 years of market yield curve data. In this article, we will look at how we can implement the two essential functions of a term structure:...

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R/Finance 2014 Review

June 30, 2014
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It's been more than a month since R/Finance 2014, and my job has finally slowed down enough to allow me to write down my thoughts (though I'm writing this over two days during my train to and from Chicago).The comments below are based on my personal ex...

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Who will win the World Cup and which prediction model?

June 17, 2014
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Who will win the World Cup and which prediction model?

The World Cup has finally kicked off last Thursday and I have seen some fantastic games already. Perhaps the Netherlands appears to be the strongest side so far, following their 5-1 victory over Spain. To me the question is not only which country will win the World Cup, but also which prediction model will come closest to the...

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3 new R jobs (for June 16th 2014)

June 16, 2014
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r_jobs

This is the bimonthly R Jobs post (for 2014-06-16), based on the R-bloggers’ sister website: R-users.com. If you are an employer who is looking to hire people from the R community, please visit this link to post a new R job (it’s free, and registration takes less than 10 seconds). If you are a job seekers, please follow the links below to learn more and apply for your job of interest (or visit previous...

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Identifying Pathways in the Consumer Decision Journey: Nonnegative Matrix Factorization

June 13, 2014
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Identifying Pathways in the Consumer Decision Journey: Nonnegative Matrix Factorization

The Internet has freed us from the shackles of the yellow page directory, the trip to the nearby store to learn what is available, and the forced choice among a limited set of alternatives. The consumer is in control of their purchase journey and can t...

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Which came first, the preference or the choice?

May 27, 2014
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Which came first, the preference or the choice?

Obviously, preference precedes choice because choices are made to maximize preference. That is certainly the way we conduct our marketing research. We generate factorial designs and write descriptions full of information about products and services. Ou...

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Towards (Yet) Another R Colour Palette Generator. Step One: Quentin Tarantino.

May 27, 2014
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Towards (Yet) Another R Colour Palette Generator. Step One: Quentin Tarantino.

Why?I love colours, I love using colours even more. Unfortunately, I have to admit that I don't understand colours well enough to use them properly. It is the same frustration that I had about one year ago when I first realised that I couldn't plot anything better than the defaults in Excel and Matlab! It...

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Ensemble Methods Part 3: Revolution Analytics Big Data Random Forest Function

May 20, 2014
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Ensemble Methods Part 3: Revolution Analytics Big Data Random Forest Function

by Mike Bowles In two previous posts, A Thumbnail History of Ensemble Methods and Ensemble Packages in R, Mike Bowles — a machine learning expert and serial entrepreneur — laid out a brief history of ensemble methods and described a few of the many implementations in R. In this post Mike takes a detailed look at the Random Forests...

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The Mind Is Flat! So Stop Overfitting Choice Models

May 15, 2014
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The Mind Is Flat! So Stop Overfitting Choice Models

Conjoint analysis and choice modeling rely on repeated observations from the same individuals across many different scenarios where the features have been systematically manipulated in order to estimate the impact of varying each feature. We believe th...

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