Results 31 to 40 of about 39,520 (292)

Bootstrapping Empirical Functions

open access: yesThe Annals of Statistics, 1989
We develop the complete bootstrapped parallel to the asymptotic theory of weighted empirical and quantile processes. Utilizing this parallel theory, we present a general body of techniques to establish the asymptotic validity of the bootstrap method of constructing confidence bands for statistical functions.
Csorgo, Sandor, Mason, David M.
openaire   +2 more sources

Association between older adults’ functional performance and their scores on the Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) [PDF]

open access: yesIrish Journal of Occupational Therapy, 2017
Purpose - The paper aims to investigate if the performance of older adults on the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) were associated or predictive of their functional performance in a geriatric evaluation ...
Sze Tim Sonia Yu   +3 more
doaj   +1 more source

Smooth bootstrapping of copula functionals

open access: yesElectronic Journal of Statistics, 2022
The smooth bootstrap for estimating copula functionals in small samples is investigated. It can be used both to gauge the distribution of the estimator in question and to augment the data. Issues arising from kernel density and distribution estimation in the copula domain are addressed, such as how to avoid the bounded domain, which bandwidth matrix to
Coblenz, Maximilian   +3 more
openaire   +4 more sources

A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing

open access: yesMethodsX, 2019
This article describes a nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting (RWH) system storage sizing and reliability determination.
Kurt Wurthmann
doaj   +1 more source

Bootstrapping Empirical Functions [PDF]

open access: yes, 1986
In our previous sections we have established weak convergence of mean residual life, total time of test, Lorenz and Goldie processes to appropriate Gaussian processes. Apart from a few special cases (cf. Section 8), these limiting processes are functions of the underlying distributions.
Miklós Csörgő   +2 more
openaire   +1 more source

Consistency of the Frequency Domain Bootstrap for differentiable functionals [PDF]

open access: yesElectronic Journal of Statistics, 2021
The classical frequency domain bootstrap (FDB) is investigated and analyzed herein. First some well-known bootstrap consistency results for spectral density functions are revisited and then the article focuses on smooth functions of linear functionals by providing the necessary and sufficient conditions for the validity of the FDB.
Bertail, Patrice, Dudek, Anna
openaire   +3 more sources

The HFA‐PEFF score identifies ‘early‐HFpEF’ phenogroups associated with distinct biomarker profiles

open access: yesESC Heart Failure, 2022
Aims The HFA‐PEFF score was developed to optimize diagnosis and to aid in early recognition of heart failure (HF) with preserved ejection fraction (HFpEF) in patients who present with HF‐like symptoms.
Michiel T.H.M. Henkens   +11 more
doaj   +1 more source

Homomorphic Evaluation of Neural Networks Using Functional Bootstrapping with CKKS

open access: yesFuture Internet
In this work, the newly developed functional bootstrapping (FBT) for the Cheon–Kim–Kim–Song (CKKS) scheme is used for the first time to homomorphically evaluate an encrypted neural network.
Mona Scheerer   +1 more
doaj   +1 more source

Evaluating Larger Lookup Tables using CKKS

open access: yesTransactions on Cryptographic Hardware and Embedded Systems
The Cheon–Kim–Kim–Song (CKKS) scheme is a fully homomorphic encryption scheme that traditionally supports only the evaluation of smooth functions. Recent works have enabled the evaluation of arbitrary (discontinuous) integer functions represented as ...
Jules Dumezy   +5 more
doaj   +1 more source

D3GRN: a data driven dynamic network construction method to infer gene regulatory networks

open access: yesBMC Genomics, 2019
Background To infer gene regulatory networks (GRNs) from gene-expression data is still a fundamental and challenging problem in systems biology. Several existing algorithms formulate GRNs inference as a regression problem and obtain the network with an ...
Xiang Chen   +4 more
doaj   +1 more source

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