Results 31 to 40 of about 159,626 (293)
, 2013 In a multiple testing context, we consider a semiparametric mixture model with two components where one component is known and corresponds to the distribution of $p$-values under the null hypothesis and the other component $f$ is nonparametric and stands
Matias, Catherine, Nguyen, Van Hanh
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Minimax Nonparametric Hypothesis Testing: The Case of an Inhomogeneous Alternative [PDF]
Bernoulli, 1999 The aim of the paper is to study the problem of testing a simple hypothesis for a non-parametric ``signal + white-noise'' model. Under the null hypothesis it is assumed that the ``signal'' is completely specified (e.g., that no signal is present). This hypothesis is tested against a composite alternative where the underlying function (the signal) is ...
Lepski, Oleg V., Spokoiny, Vladimir G.
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IEEE AccessThis work presents a lightweight statistical method for detecting nonstationarities in motor current signals, aiming to improve the diagnosis of transient events such as sudden load changes or inverter disturbances.
Eduardo Vaz Fagundes Rech +2 more
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Functional estimation and hypothesis testing in nonparametric boundary models
, 2019 Consider a Poisson point process with unknown support boundary curve $g$, which forms a prototype of an irregular statistical model. We address the problem of estimating non-linear functionals of the form $\int \Phi(g(x))\,dx$.
Reiß, Markus, Wahl, Martin
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A Significance Test for Covariates in Nonparametric Regression [PDF]
, 2014 We consider testing the significance of a subset of covariates in a nonparametric regression. These covariates can be continuous and/or discrete.
Lavergne, Pascal +2 more
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Molecular Oncology, EarlyView.Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon +9 more
wiley +1 more source
A Consistent Nonparametric Test for Granger Non-Causality Based on the Transfer Entropy
Entropy, 2020 To date, testing for Granger non-causality using kernel density-based nonparametric estimates of the transfer entropy has been hindered by the intractability of the asymptotic distribution of the estimators. We overcome this by shifting from the transfer
Cees Diks, Hao Fang
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Goodness–of–Fit Tests for Bivariate Time Series of Counts
Econometrics, 2021 This article considers goodness-of-fit tests for bivariate INAR and bivariate Poisson autoregression models. The test statistics are based on an L2-type distance between two estimators of the probability generating function of the observations: one being
Šárka Hudecová +2 more
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A nonparametric test of a strong leverage hypothesis [PDF]
Journal of Econometrics, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oliver Linton +2 more
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Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source