GENERALIZED ADDITIVE MODEL - HOW DOES ONE INTUITIVELY INTERPRET ...
May 27, 2019 Indeed, the default to use GCV is known to undersmooth in many practical applications, and will likely be not be the default in a future version of mgcv. Wood, S.N. (2013) … From bing.com
Jul 29, 2018 This post (link below) alludes to setting the basis dimension to -1 (k = -1) as automatically choosing the number of knots via Generalized Cross Validation (GCV) in R's … From bing.com
THE CROSS VALIDATION (CV) AND THE GENERALIZED CROSS VALIDATION …
The cross validation (CV) and the generalized cross validation (GCV) statistics Ask Question Asked 11 years, 8 months ago Modified 6 years, 5 months ago From bing.com
R RIDGE REGRESSION: CHOOSING BEST LAMBDA - CROSS VALIDATED
Jun 22, 2019 Yes, you want the lambda that minimizes GCV. MASS's lm.ridge doesn't choose a default lambda sequence for you. Look at this question which talks about good default choices … From bing.com
R - ARE ABSOLUTE VALUES OF GCV MEANINGFUL FOR GAMS FIT TO DIFFERENT ...
Sep 21, 2017 The GCV score, Vg V g, therefore depends on the units of the response and/or on the specific data used in the model. As such you cannot compare, in a meaningful way, the … From bing.com
R - SMOOTHING METHODS FOR GAM IN MGCV PACKAGE? - CROSS VALIDATED
Oct 31, 2016 The default setting in gam is the thin plate spline. So I was wondering what it basically does. From my understanding so far, the advantage in that method is, that you don't … From bing.com
AIC, BIC AND GCV: WHAT IS BEST FOR MAKING DECISION IN PENALIZED ...
Jul 20, 2014 AIC, BIC and GCV: what is best for making decision in penalized regression methods? Ask Question Asked 11 years ago Modified 5 years, 8 months ago From bing.com
GAM OPTIMIZATION METHODS IN MGCV R PACKAGE - WHICH TO CHOOSE?
Sep 4, 2017 In mgcv there are various methods to finding the smoothing parameter, lambda, such as GCV and ML/REML. GCV works by minimizing predictive error, but is subject to … From bing.com
REGRESSION - HOW I CAN INTERPRET GAM RESULTS? - CROSS VALIDATED
Jan 11, 2016 I have a question about Generalized Additive Models. What is deviance explained, GCV score and scale est in GAM results? What do these indicators show? From bing.com
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