Results 71 to 80 of about 20,217 (261)

Nonparametric Estimation of Spatial Risk for a Mean Nonstationary Random Field}

open access: yesپژوهش‌های ریاضی, 2022
Introduction Estimating the spatial hazard, or in other words, the probability of exceeding a certain boundary is one of the important issues in environmental studies that are used to control the level of pollution and prevent damage from natural ...
Mohammad Moghadam, Mohsen Mohammadzadeh
doaj  

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

On the Classical Shadow Nonparametric Bootstrap

open access: yes
Classical shadows are an efficient method for constructing an approximate classical description of a quantum state using very few measurements. In the paper we propose to enhance classical shadow methods using bootstrap resampling methods. We apply nonparametric bootstrapping to assess the variability and accuracy of estimators by repeatedly sampling ...
Ghysels, Eric, Morgan, Jack
openaire   +2 more sources

Analyzing zero‐truncated recurrent event data by stratified regression with time‐varying coefficients

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen   +3 more
wiley   +1 more source

Transfer Entropy for Nonparametric Granger Causality Detection: An Evaluation of Different Resampling Methods

open access: yesEntropy, 2017
The information-theoretical concept transfer entropy is an ideal measure for detecting conditional independence, or Granger causality in a time series setting.
Cees Diks, Hao Fang
doaj   +1 more source

Nonparametric maximum likelihood estimation of the survival function using current lifetime data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley   +1 more source

Model‐Informed Evaluation of Hydroxyurea Exposure During Lactation

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Hydroxyurea is a cornerstone therapy for sickle cell anemia; however, evidence guiding its use during lactation remains limited. This study aimed to develop a population pharmacokinetic (PK) model to characterize hydroxyurea disposition in maternal plasma and breast milk, and to quantify infant exposure under clinically relevant breastfeeding scenarios.
Anhar Hosawi   +5 more
wiley   +1 more source

Permutation-Based Analysis of Clinical Variables in Necrotizing Fasciitis Using NPC and Bootstrap

open access: yesMathematics
Necrotizing fasciitis (NF) is a rare but aggressive soft tissue infection with high rates of mortality and amputation, making early identification of key prognostic biomarkers essential for clinical management. However, the rarity and heterogeneity of NF
Gianfranco Piscopo   +3 more
doaj   +1 more source

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