Displaying 3 results from an estimated 3 matches for "xw2".
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x2
2010 Mar 09
1
penalized maximum likelihood estimation and logistf
Hi, I got two questions and would really appreciate any help from here.
First, is the penalized maximum likelihood estimation(Firth Type Estimation)
only fit for binary response (0,1 or TRUE, FALSE)? Can it be applied to
multinomial logistic regression?
If yes, what's the formula for LL and U(beta_i)? Can someone point me to
the right reference?
Second, when I used *logistf *on a dataset with
2002 Jan 28
6
Almost a GAM?
Hello:
I sent this question the other day with the wrong subject
heading and couple typos, with no response. So,
here I go again, having made those corrections.
I would like to estimate, for lack of a better description,
a partially additive non-parametric model with the following
structure:
z~ f(x,y):w1 + g(x,y):w2 + e
In other words, I'd like to estimate the marginals with
respect to
2008 May 21
0
Errors in using gdb (PR#11496)
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v/4VduAjkPyUqevtvfc+amjXRG6MJotM3E4ikQjaSaMI7Wn3mOLQHsN5q91ww6Y7vAQPwjxO
LUgikUZRbM1Kvj/Hm7Tb0C5O+VgZiLeBoS2e+DH5iNC+YMGCRYsWPfTQQ+gb89JLL73xxhtv
vfXW24mA2wHaX3jhhVozaHiRAtr1YVsN7cTtJBKJoJ00bqA9mWYNUnbrblj3gprjN2PjesCg
HefuJmoikUZLiq47897vLrR3FlcSNoD2m2+++a677lqyZMnDDz/85JNPPv/886+88spf/vIX
wPW//e1v77zzDtD766+/DiTvtic5rUn60A4f2ZYZwv6mEV3N88KBfOTclEkkEomgnaC9l+4x
kGDDcT23Pui1fK/uuI2qE8AOc5vBM+IaQCbONlK/mkajMc6eAvBFYGJLUo+JXcbtXXWP4UF9
YKA6MDi0GUF7M...