Results 1 to 10 of about 2,566,706 (187)

Resampling under Complex Sampling Designs: Roots, Development and the Way Forward

open access: yesStats, 2022
In the present paper, resampling for finite populations under an iid sampling design is reviewed. Our attention is mainly focused on pseudo-population-based resampling due to its properties.
Pier Luigi Conti, Fulvia Mecatti
doaj   +1 more source

Exchangeably Weighted Bootstraps of General Markov U-Process

open access: yesMathematics, 2022
We explore an exchangeably weighted bootstrap of the general function-indexed empirical U-processes in the Markov setting, which is a natural higher-order generalization of the weighted bootstrap empirical processes.
Inass Soukarieh, Salim Bouzebda
doaj   +1 more source

Non-Parametric Conditional U-Processes for Locally Stationary Functional Random Fields under Stochastic Sampling Design

open access: yesMathematics, 2022
Stute presented the so-called conditional U-statistics generalizing the Nadaraya–Watson estimates of the regression function. Stute demonstrated their pointwise consistency and the asymptotic normality.
Salim Bouzebda, Inass Soukarieh
doaj   +1 more source

On Weak Convergence of the Bootstrap Copula Empirical Process with Random Resample Size

open access: yesStats, 2023
The purpose of this note is to provide a description of the weak convergence of the random resample size bootstrap empirical process. The principal results are used to estimate the sample rank correlation coefficients using Spearman’s and Kendall’s ...
Salim Bouzebda
doaj   +1 more source

Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning

open access: yesEntropy, 2021
It is desirable to combine the expressive power of deep learning with Gaussian Process (GP) in one expressive Bayesian learning model. Deep kernel learning showed success as a deep network used for feature extraction.
Chi-Ken Lu, Patrick Shafto
doaj   +1 more source

The autonomization of accounting processes [PDF]

open access: yesZeszyty Teoretyczne Rachunkowości, 2023
Purpose: The aim of the article is to conceptualise the autonomization of accounting processes. Based on the discussion of contemporary literature in the field of digital transformation and empirical research, the ubiquitous phenomenon of business ...
Monika Łada   +1 more
doaj   +1 more source

Cardiotocography analysis by empirical dynamic modeling and Gaussian processes

open access: yesFrontiers in Bioengineering and Biotechnology, 2023
Introduction: During labor, fetal heart rate (FHR) and uterine activity (UA) can be continuously monitored using Cardiotocography (CTG). This is the most widely adopted approach for electronic fetal monitoring in hospitals. Both FHR and UA recordings are
Guanchao Feng   +3 more
doaj   +1 more source

Weighted empirical FCLT for weakly dependent processes

open access: yesLietuvos Matematikos Rinkinys, 2005
This paper provides a weak convergence theorem for weighted empirical processes of a stationary sequence under a new weak dependence condition introduced by P. Doukhan and S. Louhichi.
Mindaugas Juodis
doaj   +3 more sources

Modeling Healthcare Processes Using Commitments: An Empirical Evaluation. [PDF]

open access: yesPLoS ONE, 2015
The two primary objectives of this paper are: (a) to demonstrate how Comma, a business modeling methodology based on commitments, can be applied in healthcare process modeling, and (b) to evaluate the effectiveness of such an approach in producing ...
Pankaj R Telang   +2 more
doaj   +1 more source

Second Moment Convergence Rates for Uniform Empirical Processes

open access: yesJournal of Inequalities and Applications, 2010
Let be a sequence of independent and identically distributed -distributed random variables. Define the uniform empirical process as , . In this paper, we get the exact convergence rates of weighted infinite series of .
You-You Chen, Li-Xin Zhang
doaj   +2 more sources

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