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ABSTRACT Change-Point Problems in
Generalized Linear Models
Statistical models which involve
change-points are termed as change-point
models. The change-point problem has been one of the central issues of
statistical inference for several decades. Much of the existing research is
focused on change-point models with a single and abrupt change.
Literature on this topic are divided between models in which continuity is
assumed and those which allow a discontinuity at the point of change. The
major difficulty lies in both cases are the lack of smoothness of the
likelihood with respect to the change-points. Furthermore, the change-point
as a parameter disappears under the null hypothesis of no
change. The major classical approaches to the change-point problem have
been CUSUM procedure, likelihood and quasi-likelihood methods. I will
discuss these existing approches for cross-sectional data with continuous
and discrete responses under the GLM framework.
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