Results 41 to 50 of about 8,348 (152)
Risks of ignoring uncertainty propagation in AI‐augmented security pipelines
Abstract The use of AI technologies is being integrated into the secure development of software‐based systems, with an increasing trend of composing AI‐based subsystems (with uncertain levels of performance) into automated pipelines. This presents a fundamental research challenge and seriously threatens safety‐critical domains.
Emanuele Mezzi+3 more
wiley +1 more source
ABSTRACT A fundamental functional in nonparametric statistics is the Mann‐Whitney functional θ=P(X
Jonas Beck+2 more
wiley +1 more source
Nonparametric Method for a Non-inferiority Test using Confidence Interval
Non-inferiority trials indicate whether the effect of an experimental treatment is not worse than an active control. Chen et al. (2006) and Kang (2010) proposed a test method for non-inferiority trials using confidence intervals.
Sujung Park, Dongjae Kim
semanticscholar +1 more source
The quantile‐based classifier with variable‐wise parameters
Abstract Quantile‐based classifiers can classify high‐dimensional observations by minimizing a discrepancy of an observation to a class based on suitable quantiles of the within‐class distributions, corresponding to a unique percentage for all variables.
Marco Berrettini+2 more
wiley +1 more source
Nonparametric confidence intervals for tail dependence based on copulas
. We propose nonparametric asymptotic condence intervals for the upper and lower tail dependence coecients. These latter are obtained from condence bands established for the copula function itself and based upon three kernel-type estimators.
C. Seck, D. Ba, G. Lo
semanticscholar +1 more source
Natural H2 and Sulfate Production via Radiolysis in Low Porosity and Permeability Crystalline Rocks
Abstract Natural hydrogen (H2) is a candidate low‐carbon energy source for society and sustains microbial ecosystems when coupled with oxidants (e.g., sulfate). In crystalline rock settings, water‐rock interactions, including radiolysis, generate both H2 and sulfate, but quantifying their production rates remains challenging when porosity and ...
Peter M. Higgins+3 more
wiley +1 more source
Kernel Estimation for Panel Data with Heterogeneous Dynamics
This paper proposes nonparametric kernel-smoothing estimation for panel data to examine the degree of heterogeneity across cross-sectional units. We first estimate the sample mean, autocovariances, and autocorrelations for each unit and then apply kernel
Okui, Ryo, Yanagi, Takahide
core +1 more source
Post‐selection inference for the Cox model with interval‐censored data
Abstract We develop a postselection inference method for the Cox proportional hazards model with interval‐censored data, which provides asymptotically valid p‐values and confidence intervals conditional on the model selected by lasso. The method is based on a pivotal quantity that is shown to converge to a uniform distribution under local parameters ...
Jianrui Zhang, Chenxi Li, Haolei Weng
wiley +1 more source
Nonparametric Confidence Limits of Quantile-Based Process Capability Indices
We propose an asymptotic nonparametric confidence interval for quantile-based process capability indices (PCIs) based on the superstructure CNp(u,v) modified from Cp(u,v) which contains the four basic PCIs, Cp, Cpk, Cpm, and Cpmk, as special cases. Since
Cheng Peng, Jiaqing Xu
semanticscholar +1 more source
In this work, we present the heavy‐tailed inverse power Lindley Type‐I (HTIPL‐TI) distribution, a versatile three‐parameter probability model. This distribution is derived by applying the generator of the Type‐I heavy‐tailed‐G family to the inverse power Lindley model.
Amal S. Hassan+3 more
wiley +1 more source