Tell me more ×
Cross Validated is a question and answer site for statisticians, data analysts, data miners and data visualization experts. It's 100% free, no registration required.
up vote -1 down vote favorite
1

We have biological data sets with about 42,000 observations; in addition, between these extremes, there are different levels of correlation. What regression model do you recommend? Thank you for your tolerance of my primary questions

share|improve this question
2  
More details, please. – mbq♦ Dec 27 '12 at 8:26
1  
I agree with @mbq, this question can't be given a good answer in its current form. You may find this blog post of mine helpful. And welcome to the site! – Peter Flom Dec 27 '12 at 13:34
@masoommeh: You cannot say that your data set is high dimensional based on the number of observations. How many dependent and independent variables have you got and what are they (categorical, quantitative etc.)? – Deer Hunter Dec 27 '12 at 14:00

closed as not a real question by chl♦ Mar 27 at 16:07

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, see the FAQ.

1 Answer

up vote 0 down vote

After some pre-processing for dimensionality reduction (DR), you can look at nonparametric regression methods. Furthermore, Regression trees may be helpful since they also do some sort of automatic DR.

share|improve this answer
Degrees of correlation between observations are different. Observations are Biological that data are affected by each other. , What way would you suggest?please help me.thanks – masoommeh Dec 27 '12 at 11:03
Thanks dear Zoran! That's very helpful! – masoommeh Dec 27 '12 at 13:09
2  
Correlation isn't between observations, but between variables. – Peter Flom Dec 27 '12 at 13:36

Not the answer you're looking for? Browse other questions tagged or ask your own question.