In answering a question about a confidence interval for a binomial proportion I pointed out the fact that the normal approximation is an unreliable method that is archaic. It should not be taught as a ...
I am learning pattern recognition. But in the book I am reading there is almost exclusively a theory with few examples. Is there a special book / web site etc, with a lot of tasks covering all main ...
Stopping rules affect the relationship between P-values and the error rates associated with decisions. A recent paper by Simmons et al. 2011 coins the term researcher degrees of freedom to describe a ...
What is the correct sequence of subjects and sources need to be mastered to be a Machine Learning master?
I just started to mt MS program on Machine Learning subject. I am curious about the correct flow of the subjects have to be learnt to be proficient on ML subject. In addition can you suggest some ...
There is a question with similar intent on programmers.SE. That question has some quite good answers, but the general theme seems to be that without self study, you get no-where. Obviously there are ...
What factors make for a great statistics book? In other words, what writing styles, visualizations, explanatory methodologies, text length(!), tone, depth, etc, etc contribute to giving the audience a ...
I am asked by colleagues some help in this subject, that I don’t really know. They made hypotheses on the role of some latent variables in one study, and a referee asked them to formalize this in SEM. ...
Based on this post, http://quant.stackexchange.com/questions/111/how-can-i-go-about-applying-machine-learning-algorithms-to-stock-markets, I want to digest Elements of Statistical Learning. ...