Point Processes

Point Processes are a type of statistical model used to describe the random occurrence of events in time or space. The primary goal is to analyze the patterns of event occurrences, uncover underlying temporal or spatial dependencies, and thereby predict the probability of future events. Point Processes have significant applications in areas such as financial risk assessment, earthquake prediction, neuroscience, and social network analysis, effectively enhancing the accuracy and efficiency of decision-making.