Results 71 to 80 of about 2,188,866 (304)

Exact Nonlinear State Estimation

open access: yesJournal of the Atmospheric Sciences
Abstract The majority of data assimilation (DA) methods in the geosciences are based on Gaussian assumptions. While such approximations facilitate efficient algorithms, they cause analysis biases and subsequent forecast degradations. Nonparametric, particle-based DA algorithms have superior accuracy, but their application to high-dimensional models ...
openaire   +2 more sources

Exact Performance of CoD Estimators in Discrete Prediction [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2010
The coefficient of determination (CoD) has significant applications in genomics, for example, in the inference of gene regulatory networks. We study several CoD estimators, based upon the resubstitution, leave-one-out, cross-validation, and bootstrap error estimators.
Ting Chen, Ulisses Braga-Neto
openaire   +4 more sources

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

open access: yesFEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto   +3 more
wiley   +1 more source

Approximation of classes B^ω_p,θ of periodic functions of several variables by polynomials with spectrum from cubic areas (in Ukrainian) [PDF]

open access: yesМатематичні Студії, 2011
We have obtained exact order estimates for error of approximation of classes B^ω_p,θ of periodic functions of several variables by trigonometric polynomials with spectrum from cubic areas.
S. A. Stasyuk
doaj  

Interval estimation of genetic susceptibility for retrospective case-control studies

open access: yesBMC Genetics, 2004
Background This article describes classical and Bayesian interval estimation of genetic susceptibility based on random samples with pre-specified numbers of unrelated cases and controls.
Meng Zhaoling   +2 more
doaj   +1 more source

Exact local Whittle estimation of fractional integration [PDF]

open access: yesThe Annals of Statistics, 2005
An exact form of the local Whittle likelihood is studied with the intent of developing a general-purpose estimation procedure for the memory parameter (d) that does not rely on tapering or differencing prefilters. The resulting exact local Whittle estimator is shown to be consistent and to have the same N(0,{1/4}) limit distribution for all values of d
Shimotsu, Katsumi, Phillips, Peter C B
openaire   +4 more sources

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

open access: yesFEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace   +6 more
wiley   +1 more source

Exact Norms and Morrey Estimates for Logarithmic Hardy Operators and Their Commutators on the Half-Line

open access: yesMathematics
We study logarithmic Hardy operators and their commutators on the half-line Morrey spaces defined using all bounded intervals.
Francis Mora-Ferreras   +2 more
doaj   +1 more source

Superconvergence of semidiscrete finite element methods for bilinear parabolic optimal control problems

open access: yesJournal of Inequalities and Applications, 2017
In this paper, a semidiscrete finite element method for solving bilinear parabolic optimal control problems is considered. Firstly, we present a finite element approximation of the model problem.
Yuelong Tang, Yuchun Hua
doaj   +1 more source

Exact and empirical estimation of misclassification probability

open access: yesCoRR, 2014
We discuss the problem of risk estimation in the classification problem, with specific focus on finding distributions that maximize the confidence intervals of risk estimation. We derived simple analytic approximations for the maximum bias of empirical risk for histogram classifier.
openaire   +3 more sources

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