Point processes are mathematical constructs used to model and analyze random occurrences in space or time. They are particularly useful in various fields, including probability theory, statistics, spatial analysis, and telecommunications. A point process consists of a random collection of points, where each point represents an event occurring at a specific location or time. The randomness in the process stems from the unpredictability of the event occurrences, making point processes suitable for modeling situations where events happen independently or are influenced by some underlying structure.

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