I am about to set up a meeting time with a famous composer. But this writer is often late for an appointment time. I take the maximum time this the writer is late as a random variable(θ) and try Bayesian inference.

1. Those who have met the writer in the past say that the artist arrives within as much as three hours.
2. I had a meeting with this writer once, and the writer came X hours later (but less than 3 hours). And based on this, I want to find the probability distribution of the newly θ obtained!

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In Statistics the Bayesian Inference approach is widely and most commonly used in estimating the probability distribution of any random variable based on some of the observational patterns or values a... View the full answer