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Optimal Model Averaging for Semiparametric Partially Linear Models with Censored Data
Mathematics, 2023 In the past few decades, model averaging has received extensive attention, and has been regarded as a feasible alternative to model selection. However, this work is mainly based on parametric model framework and complete dataset.
Guozhi Hu, Weihu Cheng, Jie Zeng
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Empirical Density Estimation for Interval Censored Data
Austrian Journal of Statistics, 2016 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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Uncertainty Interpretation of the Machine Learning Survival Model Predictions
IEEE Access, 2021 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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Tratamento de dados censurados em estudos ambientais
Química Nova, 2014 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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Axioms, 2023 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
MathematicsTo 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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A scoping review of survival analysis methods for doubly interval censored data
Discover Applied SciencesDoubly 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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Left‑Censored Samples from Skewed Distributions: Statistical Inference and Applications
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2018 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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Nonlinear Regression With Censored Data [PDF]
Technometrics, 2007 Suppose that the random vector (X, Y) satisfies the regression model Y = m(X) + σ(X)ϵ, where m (·) = E(Y||·) belongs to some parametric class {mθ(·):θ∈} of regression functions, σ2(·) = var(Y||·) is unknown, and ϵ is independent of X. The response Y is subject to random right censoring, and the covariate X is completely observed.
Heuchenne, Cédric, Van Keilegom, Ingrid
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Identification of Outlying Observations with Quantile Regression for Censored Data [PDF]
, 2014 Outlying observations, which significantly deviate from other measurements, may distort the conclusions of data analysis. Therefore, identifying outliers is one of the important problems that should be solved to obtain reliable results.
Cho, HyungJun +2 more
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