Monte Carlo Simulation for Interpreting Improved Time Points of a Given Point Process Using Conditional Intensity Function

In this paper, we first bring an introductory of a point process and focus on some of its important properties and concepts. Then, we interpret the improved time points of a given process based on conditional intensity function. Finally, we present an efficient algorithm and prove its performance by performing successful results.