Results 111 to 120 of about 40,800 (302)
On the validity of the bootstrap in non-parametric functional regression
The functional nonparametric regression model \(Y=r(\chi)+\varepsilon\) is considered with a functional covariate \(\chi\) and a scalar response \(Y\). A kernel estimate \(\hat r\) is proposed for the regression operator \(r\). A bootstrap methodology is proposed allowing the construction of pointwise confidence intervals for \(r\).
Ferraty, Frédéric +2 more
openaire +4 more sources
Dominant antimicrobial resistance reservoirs in Klebsiella pneumoniae vary across eco‐geographic settings rather than following a universal pattern. Integrated One Health and global genomic analyses show that lineage structure, integron load, and cross‐niche connectivity shape whether AMR burden accumulates primarily in human or nonhuman compartments ...
Hui Lin +12 more
wiley +1 more source
A semi-parametric bootstrap-based best linear unbiased estimator of location under symmetry. [PDF]
Hutson AD.
europepmc +1 more source
Asymptotic and bootstrap inference for inequality and poverty measures [PDF]
A random sample drawn from a population would appear to offer an ideal opportunity to use the bootstrap in order to perform accurate inference, since the observations of the sample are IID.
Russell Davidson, Emmanuel Flachaire
core
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source
THE RESEARCH OF BOOTSTRAP ADAPTATION DURING INITIAL GAS TURBINE ENGINE PARAMETERS PROCESSING
This article is dealing with the research of bootstrap adaptation during initial air-jet engine parameters processing in trend analysis. Types of bootstrap and its adaptation are shown. Optimal bootstrap variation length is chosen.
K. A. Sorokin
doaj
new test for the parametric form of the variance function in nonparametric regression [PDF]
In the common nonparametric regression model the problem of testing for the parametric form of the conditional variance is considered. A stochastic process based on the difference between the empirical processes obtained from the standardized ...
Dette, Holger, van Keilegom, Ingrid
core
Bootstraping financial time series [PDF]
It is well known that time series of returns are characterized by volatility clustering and excess kurtosis. Therefore, when modelling the dynamic behavior of returns, inference and prediction methods, based on independent and/or Gaussian observations ...
Pascual, Lorenzo +4 more
core +1 more source
We screened 558 reverse transcriptases and engineered an optimized rat endogenous retrovirus‐derived variant, enRERV‐RT, via structure‐guided engineering and deep mutational scanning. This enhanced prime editor, based on the engineered RT, outperforms conventional M‐MLV‐RT systems across plant and animal cells, particularly at hard‐to‐edit loci ...
Linsha Ma +22 more
wiley +1 more source
A Bootstrap Invariance Principle for Highly Nonstationary Long Memory Processes [PDF]
This paper presents an invariance principle for highly nonstationary long memory processes, defined as processes with long memory parameter lying in (1, 1.5).
George Kapetanios
core

