Results 21 to 30 of about 143,582 (164)
Uncertainty Interpretation of the Machine Learning Survival Model Predictions
A method for interpreting uncertainty of predictions provided by machine learning survival models is proposed. It is called UncSurvEx and aims to determine which features of an analyzed example lead to uncertain predictions of an explainable black-box ...
Lev V. Utkin +5 more
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In industrial production, the exponentially weighted moving average scheme is widely used to monitor shifts in product quality, especially small-to-moderate shifts.
Dan Yu +5 more
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A Residual Control Chart Based on Convolutional Neural Network for Normal Interval-Censored Data
To reduce reliability testing time, experiments are often terminated at a predetermined time, producing right-censored lifetime data. Alternatively, when test samples are inspected at fixed intervals, failures are only observed within these intervals ...
Pei-Hsi Lee
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Empirical Density Estimation for Interval Censored Data
This paper is concerned with the nonparametric estimation of a density function when the data are incomplete due to interval censoring. The Nadaraya-Watson kernel density estimator is modified to allow description of such interval data.
Eugenia Stoimenova
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A scoping review of survival analysis methods for doubly interval censored data
Doubly interval-censored data (DICD) often emerge in longitudinal studies, where the survival time, T = W − V, denotes the duration between two connected events: the initial event time (V) and the subsequent event time (W), both of which are subject to ...
Himani Kotian +3 more
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Tratamento de dados censurados em estudos ambientais
Due to the inherent limitations of the analytical methods of measurement, environmental exposure data often present observations described as below a certain detection limit, also called left-censored data. Censored data directly interferes in almost all
Cristiano Christofaro +1 more
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Survival analysis is a critical tool for cancer research, yet handling censored data remains challenging due to supervision bias and inaccurate hazard estimates.
Xiu-Shen Wei +6 more
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We develop methodology for a multistage-decision problem with flexible number of stages in which the rewards are survival times that are subject to censoring. We present a novel Q-learning algorithm that is adjusted for censored data and allows a flexible number of stages.
Goldberg, Yair, Kosorok, Michael R.
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Left‑Censored Samples from Skewed Distributions: Statistical Inference and Applications
Left‑censored data occur frequently in many areas. At present, researchers pay attention to skewed censored distributions more frequently. This paper deals with statistical inference of type I multiply left‑censored Weibull and exponential distributions.
Michal Fusek, Jaroslav Michálek
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