Work

Observation‐Driven Random Coefficient Threshold INAR Models for Count Time Series

Year: 2025

Type: article

Source: Stat

DOI: 10.1002/sta4.70105

Authors: Chang Liu, Hong Lv, Dehui Wang

Institutions: Jilin University, Changchun University of Technology, Liaoning University

Language: English

Topic: Time Series Analysis and Forecasting

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Natural Science Foundation of Jilin Province, National Natural Science Foundation of China

Awards: G2156376056, G408818585, G7586991389, G8127763615

OpenAlex ID: W4415377712

FWCI: 0.498

Cites: 36

Cited by: 1

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