Results 41 to 50 of about 41,458 (311)
Laws of large numbers for the number of weak records
Statistics & Probability Letters, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gouet Bañares, Raúl +2 more
openaire +6 more sources
FEBS Open Bio, EarlyView.Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya +2 more
wiley +1 more source
Weak law of large numbers for iterates of random-valued functions
Aequationes Mathematicae, 2018 Given a probability space $$ (\Omega , {\mathcal {A}}, P) $$(Ω,A,P), a complete and separable metric space X with the $$ \sigma $$σ-algebra $$ {\mathcal {B}} $$B of all its Borel subsets and a $$ {\mathcal {B}} \otimes {\mathcal {A}} $$B⊗A-measurable ...
K. Baron
semanticscholar +1 more source
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Characterization of risk: a sharp law of large numbers [PDF]
, 2007 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.
core
On the Rate of Convergence in the Weak Law of Large Numbers
The Annals of Probability, 1982 Let $\{Z_n\}$ be a sequence of random variables converging in probability to zero. If the convergence is also in $L^2$, it is common to measure the rate of convergence by the $L^2$ norm of $Z_n$. However, in many interesting cases the variables $Z_n$ do not have finite variance, and then it seems appropriate to study the truncated $L^2$ norm, $\Delta_n
openaire +3 more sources
A Weak Law of Large Numbers for the Sample Covariance Matrix
Electronic Communications in Probability, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sepanski, Steven, Pan, Zhidong
openaire +3 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Functional Erd\"os-R\'enyi law of large numbers for nonconventional sums under weak dependence [PDF]
, 2016 We obtain a functional Erd\H os-R\' enyi law of large numbers for "nonconventional" sums of the form $\Sig_n=\sum_{m=1}^nF(X_m,X_{2m},...,X_{\ell m})$ where $X_1,X_2,...$ is a sequence of exponentially fast $\psi$-mixing random vectors and $F$ is a Borel
Y. Kifer
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source