We develop an estimation procedure for a discrete probability mass function (pmf) with unknown support. We derive its maximum likelihood estimator under the mild and natural shape-constraint of ...

The underlying demand framework combines a general, nonparametric discrete choice model with a Bernoulli process of arrivals over time. The choice model is defined by a discrete probability mass ...

A discrete distribution is a statistical probability distribution that represents the possible discrete values a variable can take.

Random processes Syllabus Unit 1 : Probability models and axioms Probability models and axioms Mathematical background : Sets; sequences, limits, and series; (un)countable sets. Unit 2 : Conditioning ...