Ridge estimation for multinomial logit models with symmetric side constraints |
| |
Authors: | Faisal Maqbool Zahid Gerhard Tutz |
| |
Institution: | 1. Government College University Faisalabad, Faisalabad, Pakistan 2. Ludwig–Maximilians-Universit?t Munich, Akademiestra?e 1, 80799, Munich, Germany
|
| |
Abstract: | In multinomial logit models, the identifiability of parameter estimates is typically obtained by side constraints that specify one of the response categories as reference category. When parameters are penalized, shrinkage of estimates should not depend on the reference category. In this paper we investigate ridge regression for the multinomial logit model with symmetric side constraints, which yields parameter estimates that are independent of the reference category. In simulation studies the results are compared with the usual maximum likelihood estimates and an application to real data is given. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|