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Apr
21
awarded  Popular Question
Apr
14
accepted What does id (cluster) mean in gee?
Apr
14
comment What does id (cluster) mean in gee?
thanks Tim! Points 1 & 2 of your citation answer my question perfectly.
Apr
14
revised What does id (cluster) mean in gee?
added 31 characters in body; edited tags
Apr
14
asked What does id (cluster) mean in gee?
Apr
3
asked How to transform counts for correlation?
Apr
3
comment Is it a good idea to evaluate cross-validation using correlation coefficient?
Ok, I see now! But in my particular case, different intercept and slope is not a problem (it would be hard to explain why). So is there any other problem of the correlation coefficient besides the illustrated one with intercept and slope? If not, I consider it perfect measure for my case!!
Apr
3
comment Is it a good idea to evaluate cross-validation using correlation coefficient?
Hi Hong Ooi, I didn't understand your example. The correlation of the two vectors is -1, so the predictions are terrible. I would consider model as good when r is between 0.5 and 1.
Apr
3
revised Is it a good idea to evaluate cross-validation using correlation coefficient?
added 218 characters in body
Apr
3
asked Is it a good idea to evaluate cross-validation using correlation coefficient?
Mar
31
awarded  Notable Question
Mar
9
revised Crossvalidation in hierarchical bayesian models (HBMs)
edited body
Mar
9
revised Crossvalidation in hierarchical bayesian models (HBMs)
added 57 characters in body
Mar
9
revised Crossvalidation in hierarchical bayesian models (HBMs)
added 43 characters in body
Mar
9
asked Crossvalidation in hierarchical bayesian models (HBMs)
Mar
1
comment Model for probability of N autocorrelated events
@whuber thanks, I've updated the question.
Mar
1
revised Model for probability of N autocorrelated events
added 280 characters in body
Mar
1
revised Model for probability of N autocorrelated events
added 196 characters in body
Mar
1
comment Model for probability of N autocorrelated events
thanks alesc, but these are quite obvious ideas. I am interested in how to parametrize the model, how to write it. That's where I am clueless. Ideas are quite clear, I need formulas now :-)
Mar
1
asked Model for probability of N autocorrelated events