We propose a likelihood method for estimating parameters in generalized linear models with missing covariates and a non-ignorable missing data mechanism. In this paper, we focus on one missing covariate. We use a logistic model for the probability that the covariate is missing, and allow this probab
PAC learning in non-linear FIR models
β Scribed by K. Najarian; G. A. Dumont; M. S. Davies; N. E. Heckman
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 140 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0890-6327
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