Generalized Poisson autoregressive models for time series of counts

2016 ◽  
Vol 99 ◽  
pp. 51-67 ◽  
Author(s):  
Cathy W.S. Chen ◽  
Sangyeol Lee
2020 ◽  
Author(s):  
Leopoldo Catania ◽  
Eduardo Rossi ◽  
Paolo Santucci de Magistris

Author(s):  
Chao Zhang ◽  
Piotr Kokoszka ◽  
Alexander Petersen

2020 ◽  
Vol 68 ◽  
pp. 97-122
Author(s):  
Jean-Marc Bardet ◽  
Vincent Brault ◽  
Serguei Dachian ◽  
Farida Enikeeva ◽  
Bruno Saussereau

Recent contributions to change-point detection, segmentation and inference for non-regular models are presented. Various problems are considered including the multiple change-point estimation with adaptive penalty for time series with different dependency structures, estimation of the singularity point in cusp-type models, inference for thresholded autoregressive models, and cross-segmentation of matrices.


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