Results 51 to 60 of about 16,691 (298)
Strong Approximation of Empirical Copula Processes by Gaussian Processes
, 2011 We provide the strong approximation of empirical copula processes by a Gaussian process. In addition we establish a strong approximation of the smoothed empirical copula processes and a law of iterated ...
Adler R. J. +21 more
core +1 more source
Interfacial Yield Stress Response in Synthetic Mucin Solutions
Advanced Materials Interfaces, EarlyView.The solution rheology of novel synthetic mucins mimicking natural mucin domains is studied. Like many natural mucin solutions, apparent solid‐like rheology is seen. However, no bulk structural features are found to explain it. Interfacial rheology and robust modelling reveal that this arises from molecular associations at the air–water interface ...
Sumit Sunil Kumar +7 more
wiley +1 more source
Kolmogorov's law of the iterated logarithm for noncommutative martingales
, 2014 We prove Kolmogorov's law of the iterated logarithm for noncommutative martingales. The commutative case was due to Stout.
Zeng, Qiang
core +1 more source
Advanced Theory and Simulations, EarlyView.FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann +5 more
wiley +1 more source
The quenched limiting distributions of a one-dimensional random walk in random scenery
, 2013 For a one-dimensional random walk in random scenery (RWRS) on Z, we determine its quenched weak limits by applying Strassen's functional law of the iterated logarithm. As a consequence, conditioned on the random scenery, the one-dimensional RWRS does not
Guillotin-Plantard, Nadine +2 more
core +2 more sources
Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning
Advanced Science, EarlyView.This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi +7 more
wiley +1 more source
Advanced Science, EarlyView.BrainFusion is a low‐code software framework for multimodal brain–computer interface (BCI) and brain–body interaction research. It supports electroencephalography (EEG), functional near‐infrared spectroscopy (fNIRS), electromyography (EMG), and electrocardiography (ECG) integration with standardized preprocessing, feature fusion, and model ...
Wenhao Li +10 more
wiley +1 more source
The LIL for $U$-statistics in Hilbert spaces
, 2007 We give necessary and sufficient conditions for the (bounded) law of the iterated logarithm for $U$-statistics in Hilbert spaces. As a tool we also develop moment and tail estimates for canonical Hilbert-space valued $U$-statistics of arbitrary order ...
C. Houdré +19 more
core +1 more source
Advanced Science, EarlyView.Why do some people fear or distrust AI agents more than others? This twin study shows that negative attitudes toward AI may partly stem from genetic factors, linking them to traits like victim sensitivity and moral beliefs. These findings show that it is not only nurture but also nature that shapes our views of AI, with implications for future human–AI
Xiaojiayu Tan +7 more
wiley +1 more source
Exponential Inequalities for Positively Associated Random Variables and Applications
Journal of Inequalities and Applications, 2008 We establish some exponential inequalities for positively associated random variables without the boundedness assumption. These inequalities improve the corresponding results obtained by Oliveira (2005).
Ailin Liu, Shanchao Yang, Guodong Xing
doaj +2 more sources