71 citations · 110 across the 48 of their papers we have counts for
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math.ST2019
Concentration-based confidence intervals for U-statistics
Hien D. Nguyen
Concentration inequalities have become increasingly popular in machine learning, probability, and statistical research. Using concentration inequalities, one can construct confiden…
math.ST2019★ 71 cited
Approximation by finite mixtures of continuous density functions that vanish at infinity
T Tin Nguyen, Hien D Nguyen, Faicel Chamroukhi +1
Given sufficiently many components, it is often cited that finite mixture models can approximate any other probability density function (pdf) to an arbitrary degree of accuracy. Un…
math.ST2019
Asymptotic normality of the time-domain generalized least squares estimator for linear regression models
Hien D Nguyen
In linear models, the generalized least squares (GLS) estimator is applicable when the structure of the error dependence is known. When it is unknown, such structure must be approx…