Results 101 to 110 of about 166,064,242 (247)
Mean quadratic convergence of signed random measures [PDF]
summary:We consider signed Radon random measures on a separable, complete and locally compact metric space and study mean quadratic convergence with respect to vague topology on the space of measures.
Jacob, P., Oliveira, P. E.
core +1 more source
On Value Distribution of Certain Beurling Zeta-Functions
In this paper, the approximation of analytic functions by shifts ζP(s+iτ) of Beurling zeta-functions ζP(s) of certain systems P of generalized prime numbers is discussed. It is required that the system of generalized integers NP generated by P satisfies ∑
Antanas Laurinčikas
doaj +1 more source
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
This paper develops a practical computational framework for the Bayesian Cournot model with bilateral incomplete cost information, where each player is uncertain about the opponent’s marginal cost, drawn from a continuous compact interval [c*, c*] with ...
David Carfí +2 more
doaj +1 more source
Weak convergence in spaces of measures and operators
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Our American system of weights and measures; why we should keep it.
Mode of access ...
American Institute of Weights and Measures.
core
Mapping properties that preserve convergence in measure on finite measure spaces
\((X, \mathcal{M}, \mu)\) is a finite measure space with associated outer measure \( \mu^{*}\): for any \(A \subset X, \mu^{*}(A) = \inf \{ \mu(B): B \in \mathcal{M}, B \supset A \}\), and \((Y, d_{Y})\) is a metric space. A function \( f: X \to Y\) is said to be \(\mathcal{M}\)-measurable if \( f^{-1} (U) \in \mathcal{M}\) for every open set \(U\) in \
openaire +1 more source
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
"Uniform Measures On Inverse Limit Spaces" [PDF]
Motivated by problems from dynamic economic models, we consider the problem of defining a uniform measure on inverse limit spaces. Let f be a function from a compact metric space X into itself where f is continuous, onto and piecewise one-to-one.
David R. Stockman
core

