Results 81 to 90 of about 174,249,668 (304)
A Weighted Weak Law of Large Numbers for Free Random Variables [PDF]
We examine various conditions under which a weighted weak law of large numbers holds, in the context of noncommutative probability theory.Weak law of large numbers, Noncommutative probability ...
George Stoica, Raluca Balan
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progressive brain atrophy has now been widely observed in the chronic stages of moderate–severe traumatic brain injury (msTBI), but there is only coarse information regarding its prevalence and magnitude, and whether rate of atrophy accelerates or attenuates across time. We examined these questions in a Canadian inception cohort from
Robin E. A. Green +6 more
wiley +1 more source
Applications of the Law of Large Numbers in Logistics
, 2007 One of the most remarkable theories in probability and statistics is the law of large numbers. Law of large numbers describes the behavior of random phenomena when they are reiterated infinitely or in very large trials.
Bazzazian, Navid
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Arthritis Care &Research, EarlyView.Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin +7 more
wiley +1 more source
General Weak Laws of Large Numbers for Bootstrap Sample Means [PDF]
AMS classifications: 60F05, 62G09; 62G20.Bootstrap sample mean;weak law of large numbers;convergence in probability;almost certain ...
Einmahl, J.H.J., Rosalsky, A.
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Electrical, Control and Communication Engineering, 2016 Adjustment of an unknown parameter of the multistage expert procedure is considered. The lower and upper boundaries of the parameter are counted to be known.
Romanuke Vadim V.
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Characterization of Risk : A Sharp Law of Large Numbers [PDF]
An extensive literature in economics uses a continuum of random variables to model individual random shocks imposed on a large population. Let H denote the Hilbert space of square-integrable random variables.
Sun, Yeneng, Hammond, Peter J.
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On the strong law for arrays and for the bootstrap mean and variance
International Journal of Mathematics and Mathematical Sciences, 1997 Chung type strong laws of large numbers are obtained for arrays of rowwise independent random variables under various moment conditions. An interesting application of these results is the consistency of the bootstrap mean and variance.
Tien-Chung Hu, R. L. Taylor
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source