The Combined Poisson INMA(q) Models for Time Series of Counts. - Kaizhi Yu; Hong Zou (J. Appl. Math., 2015)

The matrix-form solution for GeoX/G/1/N working vacation queue and its application to state-dependent cost control. - Chuanyi Luo; Wei Li; Kaizhi Yu; Chuan Ding (Comput. Oper. Res., 2016)

Booms and Busts in the Oil Market: Identifying Speculative Bubbles Using a Continuous-Time Dynamic System. - Kaizhi Yu; Yun Zhang 022 (Complex., 2021)

A New Overdispersed Integer-Valued Moving Average Model with Dependent Counting Series. - Kaizhi Yu; Huiqiao Wang (Entropy, 2021)

An Observation-Driven Random Parameter INAR(1) Model Based on the Poisson Thinning Operator. - Kaizhi Yu; Tielai Tao (Entropy, 2023)

Consistent Model Selection Procedure for Random Coefficient INAR Models. - Kaizhi Yu; Tielai Tao (Entropy, 2023)