Results 71 to 80 of about 36,073 (256)

A Non-Parametric Bootstrap for Spectral Clustering

open access: yes, 2022
Finite mixture modelling is a popular method in the field of clustering and is beneficial largely due to its soft cluster membership probabilities. A common method for fitting finite mixture models is to employ spectral clustering, which can utilize the expectation-maximization (EM) algorithm.
Welsh, Liam, Shreeves, Phillip
openaire   +2 more sources

Machine Learning Hazard Estimation with Valid Bootstrap Inference for Generalized Progressive Hybrid Censoring

open access: yesMathematics
Reliability studies frequently employ progressive censoring schemes that remove surviving units during testing, yet statistical inference under such designs remains vulnerable to parametric model misspecification.
Sherif I. Ammar   +3 more
doaj   +1 more source

Stability of Medicinal Nanoemulsions to Spaceflight: Insights From the StarMed Experiment

open access: yesAdvanced Healthcare Materials, EarlyView.
Chitosan‐coated melatonin nanoemulsions (MN) recovered from a sounding rocket mission preserve droplet size and controlled‐release behavior, whereas uncoated nanoemulsions show ageing‐driven droplet growth and increased accessible drug fraction. Simple polymer coatings thus enhance the flight resilience of liquid space medicines under cumulative launch
Modupe Adebowale   +4 more
wiley   +1 more source

USEFULNESS OF BOOTSTRAPPING IN PORTFOLIO MANAGEMENT

open access: yesCroatian Operational Research Review, 2012
This paper contains a comparison of in-sample and out-of-sample performances between the resampled efficiency technique, patented by Richard Michaud and Robert Michaud (1999), and traditional Mean-Variance portfolio selection, presented by Harry ...
Boris Radovanov, Aleksandra Marcikić
doaj  

On the Simulation Study of Jackknife and Bootstrap MSE Estimators of a Domain Mean Predictor for Fay‑Herriot Model

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2017
We consider the problem of the estimation of the mean squared error (MSE) of some domain mean predictor for Fay‑Herriot model. In the simulation study we analyze properties of eight MSE estimators including estimators based on the jackknife method (Jiang,
Małgorzata Karolina Krzciuk
doaj   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

open access: yesAdvanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince   +3 more
wiley   +1 more source

Modeling third-party liability insurance claims: An exponential mixture distribution and parametric bootstrap-based solution

open access: yesDesimal
This study aims to model large third-party liability insurance claim data using an exponential mixture distribution with a parametric bootstrap approach.
Ainani Tajriyan Muntaharridwan   +1 more
doaj   +1 more source

Efficient bootstrap estimates for tail statistics [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2017
Bootstrap resamples can be used to investigate the tail of empirical distributions as well as return value estimates from the extremal behaviour of the sample.
Ø. Breivik, O. J. Aarnes
doaj   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

Using Parametric Bootstrapping for Estimation of the Incidence of Inefficiency: Improving Features of Non-Parametric Bootstrap Estimator

open access: yesGAZI UNIVERSITY JOURNAL OF SCIENCE
This study proposes parametric bootstrap estimation methods to improve features of the non-parametric bootstrap estimator of Incidence of Inefficiency proposed in the literature. This study is the first to propose parametric bootstrap estimation methods to improve features of the IOI estimators.
Deniz Özonur, Mehmet Güray Ünsal
openaire   +1 more source

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