Results 71 to 80 of about 253,519 (319)
On Improved Loss Estimation for Shrinkage Estimators
Let $X$ be a random vector with distribution $P_θ$ where $θ$ is an unknown parameter. When estimating $θ$ by some estimator $φ(X)$ under a loss function $L(θ,φ)$, classical decision theory advocates that such a decision rule should be used if it has suitable properties with respect to the frequentist risk $R(θ,φ)$. However, after having observed $X=x$,
Fourdrinier, Dominique, Wells, Martin T.
openaire +3 more sources
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
The multivariate least trimmed squares estimator. [PDF]
In this paper we introduce the least trimmed squares estimator for multivariate regression. We give three equivalent formulations of the estimator and obtain its breakdown point. A fast algorithm for its computation is proposed.
Croux, Christophe +2 more
core
Tau acetylation at K331 has limited impact on tau pathology in vivo
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
A Bistochastic Nonparametric Estimator [PDF]
We explore the relevance of adopting a bistochastic nonparametric estimator. This estimator has two main implications. First, the estimator reduces variability according to the robust criterion of second-order stochastic (and Lorenz) dominance. This is a
Rafael Salas, Juan Gabriel Rodríguez
core
A TIME-OPTIMAL ALGORITHM FOR THE ESTIMATION OF CONTACT DISTRIBUTION FUNCTIONS OF RANDOM SETS
This paper presents a linear-time and therefore time-optimal algorithm for the estimation of distance distribution functions and contact distribution functions of random sets.
Johannes Mayer
doaj +1 more source
Calpain small subunit homodimerization is robust and calcium‐independent
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
Bootstrapping heteroskedasticity consistent covariance matrix estimator [PDF]
Recent results of Cribari-Neto and Zarkos (1999) show that bootstrap methods can be successfully used to estimate a heteroskedasticity robust covariance matrix estimator. In this paper, we show that the wild bootstrap estimator can be calculated directly,
Emmanuel Flachaire
core
Application of the Scaling Functions to Nonparametric Regression [PDF]
For estimating regression function we can use many proceedings. In this paper, we have chosen to apply scaling functions to the estimation of regression functions.
doaj

