Nonparametric Bayesian modeling for monotonicity in catch ratio

Hyunnam Ryu
Hyunnam Ryu

Communications in Statistics - Simulation and Computation, Volume 47, Issue 4, 2018, Pages 1056-1065.

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Abstract:

ABSTRACTThis article proposes nonparametric Bayesian approaches to monotone function estimation. This approach uses a hierarchical Bayes framework and a characterization of stick-breaking process that allows unconstrained estimation of the monotone function. In order to avoid the limitation of parametric modeling, a general class of prior...More

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