Results 61 to 70 of about 693,040 (378)
The Highly Adaptive Lasso Estimator
Estimation of a regression functions is a common goal of statistical learning. We propose a novel nonparametric regression estimator that, in contrast to many existing methods, does not rely on local smoothness assumptions nor is it constructed using ...
David C. Benkeser, M. J. Laan
semanticscholar +1 more source
Functional variation among LPMOs revealed by the inhibitory effects of cyanide and buffer ions
This study addresses the inhibition of lytic polysaccharide monooxygenases (LPMOs) by cyanide and explains how and why the magnitude of observed inhibitory effects depends on the way LPMO reactions are setup and on the type of LPMO. Enzymes known as lytic polysaccharide monooxygenases (LPMOs) are mono‐copper polysaccharide‐degrading peroxygenases that ...
Ole Golten+10 more
wiley +1 more source
A Method of m-Point Sinusoidal Signal Amplitude Estimation
The paper presents a new and original method of m-point estimation of sinusoidal signal amplitude. In this method, an m-point estimator is calculated on the basis of m initial signal samples. The way the estimator is constructed is explained. It is shown
Sienkowski Sergiusz
doaj +1 more source
Matrix rank and inertia formulas in the analysis of general linear models
Matrix mathematics provides a powerful tool set for addressing statistical problems, in particular, the theory of matrix ranks and inertias has been developed as effective methodology of simplifying various complicated matrix expressions, and ...
Tian Yongge
doaj +1 more source
Characteristics of the Kelch domain containing (KLHDC) subfamily and relationships with diseases
The Kelch protein superfamily includes 63 members, with the KLHDC subfamily having 10 proteins. While their functions are not fully understood, recent advances in KLHDC2's structure and role in protein degradation have highlighted its potential for drug development, especially in PROTAC therapies.
Courtney Pilcher+6 more
wiley +1 more source
Estimating the Gerber–Shiu Function in the Two-Sided Jumps Risk Model by Laguerre Series Expansion
In this paper, we consider an insurance risk model with two-sided jumps, where downward and upward jumps typically represent claim amounts and random gains, respectively. We use the Laguerre series to expand the Gerber–Shiu function and estimate it based
Kang Hu, Ya Huang, Yingchun Deng
doaj +1 more source
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator [PDF]
When an unbiased estimator of the likelihood is used within a Metropolis–Hastings chain, it is necessary to trade off the number of Monte Carlo samples used to construct this estimator against the asymptotic variances of the averages computed under this ...
A. Doucet+3 more
semanticscholar +1 more source
On Improved Loss Estimation for Shrinkage Estimators
Let $X$ be a random vector with distribution $P_ $ where $ $ is an unknown parameter. When estimating $ $ by some estimator $ (X)$ under a loss function $L( , )$, classical decision theory advocates that such a decision rule should be used if it has suitable properties with respect to the frequentist risk $R( , )$.
Fourdrinier, Dominique, Wells, Martin T.
openaire +4 more sources
n ...
Rosenberg,, Maximilian,
openaire +2 more sources
Insertion of the FeB cofactor in cNORs lacking metal inserting chaperones
Nitric oxide reductase is an enzyme found in the bacterial denitrification pathway. The NOR active site contains a non‐heme iron, often, but not always inserted with the assistance of chaperones. Here, we study the insertion of FeB in the subfamily of cNORs lacking chaperones and found a putative channel, conserved in the family, perhaps enabling the ...
Sofia Appelgren, Pia Ädelroth
wiley +1 more source