The Booking Pattern Conspiracy

Model the arrival of booking requests using a Poisson process to determine if the observed frequency in a specific time window is anomalous.

Use the exponential distribution to analyze the time between bookings and calculate the probability of suspiciously long or short gaps.

Analyze merged and thinned booking streams from multiple studio channels to detect irregularities hidden in the aggregate data.

Compute the survival and hazard functions for relationship durations to identify if and when the risk of a relationship ending accelerates.

Estimate the true attrition rate from a dataset containing both observed and right-censored relationship durations using Maximum Likelihood Estimation.