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physics.comp-ph2021
Tempering stochastic density functional theory
Minh Nguyen, Wenfei Li, Yangtao Li +3
We introduce a tempering approach with stochastic density functional theory (sDFT), labeled t-sDFT, which reduces the statistical errors in the estimates of observable expectation…
math.ST2021★ 2 cited
Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard
This paper studies the estimation of the conditional density f (x, ) of Y i given X i = x, from the observation of an i.i.d. sample (X i , Y i) R d , i = 1,. .. , n.…