We estimate joint and conditional probability densities via a new hybrid approach that incorporates ideas from copula modeling and makes use of known analytic results involving the conditional ...

This is a preview. Log in through your library . Abstract We derive conditions under which a set of conditional and marginal probability distributions will uniquely specify an all-positive joint ...

Description: A first course in probability intended to serve as a background for statistics and other applications. Sample spaces and axioms of probability, discrete and continuous random variables, ...

Studies axioms, counting formulas, conditional probability, independence, random variables, continuous and discrete distribution, expectation, joint distributions, moment generating functions, law of ...