Zobrazeno 1 - 10
of 1 689
pro vyhledávání: '"Bootstrapping (statistics)"'
Publikováno v:
Econometrics and Statistics. 25:110-124
The Aalen-Johansen estimator generalizes the Kaplan-Meier estimator for independently left-truncated and right-censored survival data to estimate the transition probability matrix of a time-inhomogeneous Markov model with finite state space. Such mul
Publikováno v:
Operations Research. 70:1128-1142
Nested simulation (also referred to as two-level simulation) finds a variety of applications such as financial risk measurement, and a central issue of nested simulation is how to allocate a finite amount of simulation budget to achieve the highest a
Autor:
Shigeki Aoki, Kazuhiro Suzuki, Yukihiro Nomura, Ryohei Kuwatsuru, Yujiro Otsuka, Kanako K. Kumamaru
Publikováno v:
Academic Radiology. 29:S11-S17
Rationale and Objectives A more accurate lung nodule detection algorithm is needed. We developed a modified three-dimensional (3D) U-net deep-learning model for the automated detection of lung nodules on chest CT images. The purpose of this study was
Autor:
Sudhir Kumar, Sudip Sharma
Publikováno v:
Nat Comput Sci
Felsenstein’s bootstrap approach is widely used to assess confidence in species relationships inferred from multiple sequence alignments. It resamples sites randomly with replacement to build alignment replicates of the same size as the original al
Publikováno v:
Journal of Magnetic Resonance Imaging. 55:1491-1503
BACKGROUND Preoperative assessment of the consistency of pituitary macroadenomas (PMA) might be needed for surgical planning. PURPOSE To investigate the diagnostic performance of radiomics models based on multiparametric magnetic resonance imaging (m
Autor:
Mike W.-L. Cheung, Aaron J.-M. Lim
Publikováno v:
Behavior Research Methods. 54:1063-1077
Missing data is a common occurrence in confirmatory factor analysis (CFA). Much work had evaluated the performance of different techniques when all observed variables were either continuous or ordinal. However, few have investigated these techniques
Autor:
Gerhard Tutz, Shahla Faisal
Publikováno v:
Information Sciences. 570:500-516
Missing values are a major problem in medical research. As the complete case analysis discards useful information, estimation and inference may suffer strongly. Multiple imputation has been shown to be a useful strategy to handle missing data problem
Publikováno v:
Journal of Econometrics, 224(1), 161-180. Elsevier
Digital.CSIC. Repositorio Institucional del CSIC
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Digital.CSIC. Repositorio Institucional del CSIC
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In this paper we investigate to what extent the bootstrap can be applied to conditional mean models, such as regression or time series models, when the volatility of the innovations is random and possibly non-stationary. In fact, the volatility of ma
Autor:
E. Rajasekar, Shobhit Chaturvedi
Publikováno v:
Building Simulation. 15:373-387
A deterministic approach to building energy simulation risks the omission of real-world uncertainties leading to prediction errors. This paper highlights limitations of this approach by contrasting it with a probabilistic uncertainty/sensitivity simu
Publikováno v:
Medical Physics. 48:4978-4992
PURPOSE This study develops a viscous damping model (VDM) based on Rayleigh Damping (RD) with potential use in low cost, non-invasive breast cancer diagnostics using Digital Image Elasto Tomography (DIET). METHODS A clinical trial involving 13 subjec