integer-valued bilinear process

Saddlepoint techniques have proven effective across various applications due to their markable accuracy in approximating densities. In this work, through considering the integer-valued bilinear model, the saddlepoint maximum likelihood method is applied to parameter estimation. Simulation studies show that this method provides an efficient approach to parameter estimation. The analysis of practical cases highlight the usefulness and adequacy of the proposed model in applications.