5 citations · 10 across the 4 of their papers we have counts for
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stat.ME2015★ 2 cited
Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes
Jingjing Yang, Dennis D. Cox, Jong Soo Lee +2
Functional data are defined as realizations of random functions (mostly smooth functions) varying over a continuum, which are usually collected with measurement errors on discretiz…
math.PR2015★ 5 cited
Parametric Estimation from Approximate Data: Non-Gaussian Diffusions
Robert Azencott, Peng Ren, Ilya Timofeyev
We study the problem of parameters estimation in Indirect Observability contexts, where is an unobservable stationary process parametrized by a vector of unknown para…