Parameter change test for zero-inflated generalized Poisson autoregressive models
By Sangyeol Lee, Youngmi Lee, Cathy W. S. Chen. 2016
50 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d960f47763b96f1b4b6b4bde608e01b447a3f021
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Sangyeol Lee
- A. Ahmad
- Cathy W. S. Chen
- Christian Francq
- Jean-Michel Zakoian
- Olivier Wintenberger
- S. Ling
- Christian M. Hafner
In Finance
- Sangyeol Lee
- A. Ahmad
- Cathy W. S. Chen
- Christian Francq
- Jean-Michel Zakoian
- Olivier Wintenberger
- S. Ling
- Christian M. Hafner
In Statistics and Probability
Citations in the corpus
- Bayesian causality test for integer‐valued time series models with applications to climate and crime data (2017, background): “Kang and Lee (2014) and Lee et al. (2016) considered the zero-inflated generalized Poisson auto-regressive model to deal with a parameter change test.”
- Poisson QMLE of Count Time Series Models (2016, background): “By Theorem 1 and Remark 2 in Lee et al. (2015), who considered a zero-inflated GP AR model, strict and second-order stationarity, as well as ergodicity, hold under (27) in the case .p; q/ D .1; 1/.”