Results 31 to 40 of about 66,189 (248)
Improved Density and Distribution Function Estimation
, 2018 Given additional distributional information in the form of moment restrictions, kernel density and distribution function estimators with implied generalised empirical likelihood probabilities as weights achieve a reduction in variance due to the ...
Oryshchenko, Vitaliy, Smith, Richard J.
core +1 more source
Statistical expansions and locally uniform Fréchet differentiability [PDF]
, 1991 Estimators which have locally uniform expansions are shown in this paper to be asymptotically equivalent to M-estimators. The M-functionals corresponding to these M-estimators are seen to be locally uniformly Fréchet differentiable.
Bednarski, T. +2 more
core +2 more sources
Observation of Relativistic Domain Wall Motion in Amorphous Ferrimagnets
Advanced Functional Materials, EarlyView.Domain walls in ferrimagnets and antiferromagnets move as relativistic sine‐Gordon solitons, with the spin‐wave velocity setting their speed limit. Such relativistic domain‐wall motion is demonstrated in amorphous GdFeCo near angular momentum compensation, where current‐driven walls reach 90% of the 2 kms−1 spin‐wave speed, enabling ultrafast, device ...
Pietro Diona +3 more
wiley +1 more source
Robust estimation on a parametric model via testing
, 2016 We are interested in the problem of robust parametric estimation of a density from $n$ i.i.d. observations. By using a practice-oriented procedure based on robust tests, we build an estimator for which we establish non-asymptotic risk bounds with respect
Sart, Mathieu
core +2 more sources
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Generalized Likelihood Ratio Tests Based on The Asymptotic Variant of The Minimax Approach
, 2015 Maximum likelihood ratio test statistics may not exist in general in nonparametric function estimation setting. In this paper a new class of generalized likelihood ratio (GLR) tests is proposed for nonparametric goodness-of-fit testing via the asymptotic
Han Yu
semanticscholar +1 more source
Consistent nonparametric specification tests for stochastic volatility models based on the return distribution [PDF]
, 2015 This paper develops nonparametric specification tests for stochastic volatility models by comparing the nonparametically estimated return density and distribution functions with their parametric counterparts.
Zu, Y.
core
Advanced Materials, EarlyView.Multiphase printable organohydrogels with tunable microstructures are developed to control molecular transport pathways for immiscible cargo. The tortuosity and domain size of the colloidal phases are tuned by adjusting temperature and shear during processing, which enables the tailoring of diffusion kinetics due to different transport pathways.
Riley E. Dowdy‐Green +4 more
wiley +1 more source
, 2019 We consider one of the most important problems in directional statistics, namely the problem of testing the null hypothesis that the spike direction $\theta$ of a Fisher-von Mises-Langevin distribution on the $p$-dimensional unit hypersphere is equal to ...
A Banerjee +35 more
core +1 more source
Advanced Materials Interfaces, EarlyView.Using femtosecond ablation, we show that an ordered, stoichiometric crystalline PdSe2 target can be controllably converted into a stable, disordered, non‐stoichiometric, and highly functional amorphous nanomaterial, PdSe2−x${\rm PdSe}_{2-x}$. The obtained nanoparticles offer significant advantages over conventional planar plasmon‐free substrates due to
Andrei Ushkov +18 more
wiley +1 more source