Weak convergence theorem for a class of split variational inequality problems and applications in a Hilbert space. [PDF]
Tian M, Jiang BN.
europepmc +1 more source
ABSTRACT Background Atrial Fibrillation (AF) treatment strategies are suboptimal and clinical predictors of success are limited. Artificial Intelligence (AI) has arisen as a powerful tool for treatment efficacy prediction. Objective We developed an AI‐driven platform for the stratification of patients based on noninvasive Electrocardiographic Imaging ...
Ana María Sánchez de la Nava+10 more
wiley +1 more source
Navigating the 16-dimensional Hilbert space of a high-spin donor qudit with electric and magnetic fields. [PDF]
Fernández de Fuentes I+13 more
europepmc +1 more source
Biologically-Inspired Spike-Based Automatic Speech Recognition of Isolated Digits Over a Reproducing Kernel Hilbert Space. [PDF]
Li K, Príncipe JC.
europepmc +1 more source
Monitoring panels of sparse functional data
Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta+2 more
wiley +1 more source
On some topologies in the universal Hilbert space [PDF]
Tadashige Ishihara
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Change Point Analysis for Functional Data Using Empirical Characteristic Functionals
ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth+2 more
wiley +1 more source
Some applications of the functional-representations of normal operators in Hilbert spaces, VI [PDF]
Sakuji Inoue
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Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection
ABSTRACT This article applies the functional sieve bootstrap (FSB) to estimate the distribution of the partial sum process for time series stemming from a weakly stationary functional process. Consistency of the FSB procedure under weak assumptions on the underlying functional process is established.
Efstathios Paparoditis+2 more
wiley +1 more source
Infinite-dimensional manifolds are open subsets of Hilbert space [PDF]
David W. Henderson
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