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math.ST2017
Asymptotic properties and approximation of Bayesian logspline density estimators for communication-free parallel computing methods
Konstandinos Kotsiopoulos, Alexey Miroshnikov, Erin Conlon
In this article we perform an asymptotic analysis of parallel Bayesian logspline density estimators. Such estimators are useful for the analysis of datasets that are partitioned in…
math.ST2016
Asymptotic properties of parallel Bayesian kernel density estimators
Alexey Miroshnikov, Evgeny Savelev
In this article we perform an asymptotic analysis of Bayesian parallel kernel density estimators introduced by Neiswanger, Wang and Xing (2014). We derive the asymptotic expansion…