Results 51 to 60 of about 624,838 (295)
AxiomsThis paper gives expansions for the distribution, density and quantiles of any estimate that is a smooth function of the sample cross-moments of a stationary process.
Christopher Stroude Withers
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Nonparametric Information Geometry [PDF]
, 2013 The differential-geometric structure of the set of positive densities on a given measure space has raised the interest of many mathematicians after the discovery by C.R. Rao of the geometric meaning of the Fisher information.
A. Ambrosetti +43 more
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Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
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Nihon Kikai Gakkai ronbunshuSince the optimization results obtained by topology optimization depend on the size of the design domain, it is desirable to optimize the design domain as well during topology optimization.
Daiki YAMANE, Masatoshi SHIMODA
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Nonparametric Estimates of Low Bias
Revstat Statistical Journal, 2012 We consider the problem of estimating an arbitrary smooth functional of k ≥ 1 distribution functions (d.f.s) in terms of random samples from them. The natural estimate replaces the d.f.s by their empirical d.f.s. Its bias is generally ∼ n−1 , where n is
Christopher S. Withers +1 more
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Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models [PDF]
, 2010 A variable screening procedure via correlation learning was proposed Fan and Lv (2008) to reduce dimensionality in sparse ultra-high dimensional models. Even when the true model is linear, the marginal regression can be highly nonlinear.
Fan, Jianqing, Feng, Yang, Song, Rui
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Nonparametric analysis of covariance [PDF]
The Annals of Statistics, 2001 In the problem of testing the equality of k regression curves from independent samples we discuss three methods using nonparametric estimation techniques of the regression function. The first test is based on a linear combination of estimators for the integrated variance function in the individual samples and in the combined sample. The second approach
Dette, Holger, Neumeyer, Natalie
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Comparison the Robust Estimators Nonparametric of Nonparametric Regressions
Tikrit Journal of Pure Science, 2023 In order to get rid of or reduce the abnormal values of some phenomena that may be the reason for not obtaining the desired results. This makes us to get conclusions far from reality for the phenomenon we are studying. That the traditional nonparametric estimators are very sensitive to anomalous values, which prompted us to use the fortified ...
Ali Fadhil Abduljabbar +1 more
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Molecular Oncology, EarlyView.We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
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Mortality Forecasting: How Far Back Should We Look in Time?
Risks, 2019 Extrapolative methods are one of the most commonly-adopted forecasting approaches in the literature on projecting future mortality rates. It can be argued that there are two types of mortality models using this approach.
Han Li, Colin O’Hare
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