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2d
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Mallows distance hypothesis test: p-value =? I had not seen this particular reference; it's a bit more helpful than the others in this area. Could you provide some insight into how you might do this via simulation (using histograms)? Thanks! |
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May
21 |
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asked | Mallows distance hypothesis test: p-value =? |
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May
2 |
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revised |
How to compare similarity between two discrete distributions added 198 characters in body |
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May
2 |
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answered | How to compare similarity between two discrete distributions |
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Apr
8 |
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awarded | Popular Question |
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Feb
5 |
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awarded | Student |
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Jan
10 |
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answered | How can I use KL-divergence to weight features? |
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Dec
3 |
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comment |
inverse logistic regression with binary covariates The number of covariants is (potentially) on the order of a few thousand. |
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Dec
3 |
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asked | inverse logistic regression with binary covariates |
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Nov
25 |
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answered | Identifying the time lag between cause and effect |
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Aug
23 |
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comment |
Edge correction of Ripley's K-function for two 1D point processes? @Andy: Thanks much for the reference. I had not seen this; there's some good ideas in here and, while not directly applicable to the immediate problem, will apply to some related work. |
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Aug
22 |
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Edge correction of Ripley's K-function for two 1D point processes? @whuber: there seems to be various ways to refer this situation (bivariate, cross, multivariate, etc.) and, with apologies, I tried to hit them all. Hopefully the edit will clear up the confusion. I believe you have referred to it as 'cross-K' in a slightly related posting. |
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Aug
22 |
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revised |
Edge correction of Ripley's K-function for two 1D point processes? removed the reference to 'bivariate' due to confusion. |
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Aug
22 |
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accepted | Whether to use multinomial logistic regression with a three-category outcome variable and many binary predictors? |
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Aug
22 |
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asked | Edge correction of Ripley's K-function for two 1D point processes? |
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Aug
22 |
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answered | Edge effects in K-function |
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Jun
30 |
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Whether to use multinomial logistic regression with a three-category outcome variable and many binary predictors? @gung - I've addressed the issue with R; there is a small, but critical difference in how multinom and mlogit interpret formula coding for the basic regression. The major question was regarding the modeling framework and that seems to be okay. Multicollinearity was/remains a concern. Thanks for the suggestions. |
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Jun
30 |
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Whether to use multinomial logistic regression with a three-category outcome variable and many binary predictors? @probabilityislogic - I have a few hundred data points. If I understand your contingency table comment, I think this possible issue was noted as having been checked in my original post. |
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Jun
28 |
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revised |
Whether to use multinomial logistic regression with a three-category outcome variable and many binary predictors? deleted 145 characters in body |
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Jun
28 |
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asked | Whether to use multinomial logistic regression with a three-category outcome variable and many binary predictors? |
