Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1148315 | Journal of Statistical Planning and Inference | 2014 | 11 Pages |
Abstract
A univariate clustering criterion for stationary processes satisfying a β-mixing condition is proposed extending the work of Bharath et al. (2013) to the dependent setup. The approach is characterized by an alternative sample criterion function based on truncated partial sums which renders the framework amenable to various interesting extensions for which limit results for partial sums are available. Techniques from empirical process theory for mixing sequences play a vital role in the arguments employed in the proofs of the limit theorems.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Karthik Bharath,