Στατιστική: Απλές συμβουλές για τα media

Όλα είναι Πολιτική — Tags: , — amarkos @ 11:38

[via] Statistical Modeling, Causal Inference, and Social Science

Thanks to Piled Higher and Deeper.

Buzzdigmeblogspacedeliciousgoogle bookmarks

Popularity: 1% [?]

Rated R for Language

Επιστήμη — Tags: , , , , — amarkos @ 20:43

If you regularly deal with problems related to Statistics and you haven’t even heard about R, then you’ve definitely committed a data sin. The R language has become a de facto standard among data analysts and miners for the development of statistical software.

R has many advantages such as that it’s free as in freedom and that you have a lot of prepackaged stuff that’s already available (read the popular New York Times article). R has its own conference, useR!, which in 2009 will be held at Rennes, France.

I’m a regulaR user since 2006, when I first discovered the power of R thRough “the R Book” by Michael Crawley. I wrote some code for a recent paper and right now I’m working on my first R package. Unfortunately, R is not at all popular in Greece, where (almost) everyone uses SPSS or other commercial software. R is mainstream but I think it’s here to stay.

So, don’t be lazy, try R and see for yourself if it fits your needs.

Buzzdigmeblogspacedeliciousgoogle bookmarks

Popularity: 23% [?]

A Tribute to the SVD

It was a love at first sight. The Singular Value Decomposition-SVD came into my (research) life back in 2002 as a crucial step of a whole family of Multivariate Data Analysis methods, such as Correspondence Analysis, Principal Component Analysis, Multidimensional Scaling and other. Most of us take advantage of its nice geometric properties as a “black box”, since it’s an important factorization technique with a wide spectrum of applications in statistics and machine learning.

I was wondering how many research articles mention the term SVD in a time period from 1970 to 2008, so I did a series of searches in Google Scholar. SVD gains more and more attention (see Figure below), especially after 1990, with a boom during the 00s. However, I can’t explain the fall in 2008 (I bet it’s not statistically significant :p). How long can the SVD stand the competition of more efficient methods? Will see.

SVD Search Results in Google Scholar

SVD Search Results in Google Scholar

[read more at Wikipedia]

Buzzdigmeblogspacedeliciousgoogle bookmarks

Popularity: 32% [?]

Next Page »
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License.
(c) 2010 amarkos|gr|blog | powered by WordPress with Barecity