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Bayesian learning of joint distributions of objects
Bayesian learning joint distributions objects
2013/4/27
There is increasing interest in broad application areas in defining flexible joint models for data having a variety of measurement scales, while also allowing data of complex types, such as functions,...
Joint Distributions Associated with Compound Patterns in a Sequence of Markov Dependent Multistate Trials and Estimation Problems
Chen-Stein approximations Markov chain maximum likelihood estimate multistate trials non-overlap counting overlap counting parameter estimation patterns probability generating function runs
2009/3/5
Let Λi, 1 ≤ i ≤ l be simple patterns, i.e., finite sequences of outcomes from a set Γ = {b1, b2, ..., bm} and let Λ be a compound pattern (a set ofl distinct simple patterns). In this paper, we study ...
Joint Distributions of Waiting Time Random Variables for Patterns
Conditional expectation discrete distribution theory discrete pattern generalized probability generating function waiting time
2009/3/5
Exact joint distributions of waiting times for two patterns in a sequence of l-th order time-homogeneous Markov dependent trials are studied, where the patterns are not necessarily assumed to be disti...