Paper Review

3 votes
1079 reads
 

Article: Beyond Gaussian Statistical Modeling

It's always good to have a comprehensive and summarized overview of a context. A paper by Bocquet et al. in Monthly Weather Review (from Aug. 2010) has done this about the Data Assimilation methods that go beyond the Gaussian Statistical models. The paper is entitled "Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation".

 
3 votes
2101 reads
 

Generating Surrogates of Data

It's quite common that you need a relatively large number of samples from a specific random variable (RV) (something that happens in nature), and you don't know the exact distribution of the RV. At the same time, there hasn't been enough observations of this RV, and you need to somehow generate (or in other words synthesize) samples from the RV based on a few number of observed samples.

 
4 votes
1684 reads
 

Detecting Novel Association in Large Data Sets - A new Method by Reshef et al.

Recently Reshef et al published a paper on "Detecting Novel Association in Large Data Sets". Andrew Gelman describes their method as "really cool".

Below is the abstract of the paper. To read the full paper please click here.

 
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