Results 1 to 10 of about 1,306,091 (274)
The Missing Censoring Indicator Model and the Smoothed Bootstrap. [PDF]
Comput Stat Data Anal, 2008 For right censored data with missing censoring indicators, sub-density function kernel estimators play a significant role for estimating a survival function. Data-driven bandwidths for computing these kernel estimators are proposed. The bandwidths are obtained as minimizers of certain estimates of the mean integrated squared error (MISE).
Subramanian S, Bean D.
europepmc +8 more sources
Pruning-based oversampling technique with smoothed bootstrap resampling for imbalanced clinical dataset of Covid-19. [PDF]
J King Saud Univ Comput Inf Sci, 2022 The Coronavirus Disease (COVID-19) was declared a pandemic disease by the World Health Organization (WHO), and it has not ended so far. Since the infection rate of the COVID-19 increases, the computational approach is needed to predict patients infected ...
Wibowo P, Fatichah C.
europepmc +3 more sources
Smoothed bootstrap for right-censored data [PDF]
Communications in Statistics - Theory and Methods, 2023 A smoothed bootstrap method is introduced for right-censored data based on the right-censoring-A(n) assumption introduced by Coolen and Yan, which is a generalization of Hill’s A(n) assumption for right-censored data.
Asamh Saleh M. Al Luhayb +2 more
semanticscholar +4 more sources
The Smoothed Bootstrap Fine-Tuning [PDF]
System Safety: Human - Technical Facility - Environment, 2019 The bootstrap method is a well-known method to gather a full probability distribution from the dataset of a small sample. The simple bootstrap i.e.
Renata Dwornicka +2 more
semanticscholar +4 more sources
Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation [PDF]
Mathematics, 2022 For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b.
Rebeca Peláez +2 more
doaj +3 more sources
JOIV: International Journal on Informatics Visualization, 2022 The dataset tends to have the possibility to experience imbalance as indicated by the presence of a class with a much larger number (majority) compared to other classes(minority).
Hartono Hartono, Erianto Ongko
doaj +4 more sources
Smoothed Bootstrap Methods for Bivariate Data
Journal of Statistical Theory and Practice, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Asamh Saleh M. Al Luhayb +2 more
semanticscholar +5 more sources
A smoothing and bootstrap-based framework for early outbreak detection. [PDF]
PLoS ONETimely detection of infectious disease outbreaks is critical for effective public health response. The effective reproduction number (Rt) is a key metric that captures transmission dynamics and signals the potential onset of outbreaks when it rises above
Lengyang Wang +3 more
doaj +3 more sources
Differentiable Functionals and Smoothed Bootstrap [PDF]
Annals of the Institute of Statistical Mathematics, 1997 The differentiability properties of statistical functionals have several interesting applications. We are concerned with two of them. First, we prove a result on asymptotic validity for the so-called smoothed bootstrap (where the artificial samples are drawn from a density estimator instead of being resampled from the original data).
Antonio Cuevas, Juan Romo
semanticscholar +4 more sources
Smoothed and Iterated Bootstrap Confidence Regions for Parameter Vectors [PDF]
Journal of Multivariate Analysis, 2013 The construction of confidence regions for parameter vectors is a difficult problem in the nonparametric setting, particularly when the sample size is not large. We focus on bootstrap ellipsoidal confidence regions.
Santu Ghosh, Alan M. Polansky
semanticscholar +6 more sources