Results 51 to 60 of about 159,626 (293)

Simultaneous statistical inference for epigenetic data. [PDF]

open access: yesPLoS ONE, 2015
Epigenetic research leads to complex data structures. Since parametric model assumptions for the distribution of epigenetic data are hard to verify we introduce in the present work a nonparametric statistical framework for two-group comparisons ...
Konstantin Schildknecht   +2 more
doaj   +1 more source

Asymptotic equivalence and adaptive estimation for robust nonparametric regression [PDF]

open access: yes, 2009
Asymptotic equivalence theory developed in the literature so far are only for bounded loss functions. This limits the potential applications of the theory because many commonly used loss functions in statistical inference are unbounded.
Cai, T. Tony, Zhou, Harrison H.
core   +4 more sources

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

open access: yesMolecular 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
wiley   +1 more source

A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application

open access: yesAbstract and Applied Analysis, 2018
This study developed a new method of hypothesis testing of model conformity between truncated spline nonparametric regression influenced by spatial heterogeneity and truncated spline nonparametric regression.
Sifriyani   +3 more
doaj   +1 more source

On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions

open access: yes, 2014
This paper is about two related decision theoretic problems, nonparametric two-sample testing and independence testing. There is a belief that two recently proposed solutions, based on kernels and distances between pairs of points, behave well in high ...
Póczos, Barnabás   +4 more
core   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

open access: yesMolecular 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
wiley   +1 more source

A new neutrosophic sign test: An application to COVID-19 data.

open access: yesPLoS ONE, 2021
The Sign test is a famous nonparametric test from classical statistics used to assess the one or two sample averages. The test is practical when the sample size is small, or the distributional assumption under a parametric test does not satisfy.
Rehan Ahmad Khan Sherwani   +5 more
doaj   +1 more source

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

open access: yesFEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik   +6 more
wiley   +1 more source

A nonparametric two-sample hypothesis testing problem for random dot product graphs [PDF]

open access: yes, 2015
We consider the problem of testing whether two finite-dimensional random dot product graphs have generating latent positions that are independently drawn from the same distribution, or distributions that are related via scaling or projection.
Athreya, Avanti   +4 more
core  

Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression [PDF]

open access: yes, 2013
We consider the problem of testing a particular type of composite null hypothesis under a nonparametric multivariate regression model. For a given quadratic functional $Q$, the null hypothesis states that the regression function $f$ satisfies the ...
Comminges, Laëtitia, Dalalyan, Arnak
core   +5 more sources

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