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Bayesian Robustness and Bayesian Nonparametrics

2000
Bayesian robustness studies the sensitivity of Bayesian answers to user inputs, especially to the specification of the prior. Nonparametric Bayesian models, on the other hand, refrain from specifying a specific prior functional form P, but instead assume a second-level hyperprior on P with support on a suitable space of probability measures ...
openaire   +1 more source

Robustness of Statistical Methods and Nonparametric Statistics.

Journal of the Royal Statistical Society. Series A (General), 1987
Eric Ziegel, D. Rasch, M. Tiku
openaire   +1 more source

An Efficient Nonparametric EWMA Wilcoxon Signed‐Rank Chart for Monitoring Location

Quality and Reliability Engineering International, 2017
Muhammad Abid   +3 more
semanticscholar   +1 more source

Nonparametric control charts based on order statistics: Some advances

Communications in statistics. Simulation and computation, 2018
I. Triantafyllou
semanticscholar   +1 more source

On the robustness to symmetry of some nonparametric multivariate one-sample sign-type tests

Journal of Statistical Computation and Simulation, 2016
Subhabrata Chakraborti
exaly  

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