Results 101 to 110 of about 88,173 (262)
International Statistical Review, EarlyView.Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda +2 more
wiley +1 more source
CAUCHY INTEGRAL FORMULA INDUCED BY RIGHT INVERTIBLE OPERATORS
Demonstratio Mathematica, 1992 Let \(L(X)\) be the set of all linear operators with domains and ranges in a linear space over the field \(\mathbb{C}\) of the complex numbers and \(L_ 0(X)\) the set of all operators \(A\in L(X)\) with \(\text{dom }A=X\). An operator \(D\in L(X)\) is said to be the right invertible if there exists an operator \(R\in L(X)\) such that \(DR=I\). Further,
openaire +1 more source
A Tutorial on Conducting and Interpreting a Bayesian Independent T‐Test Using Open‐Source Software
Journal of Advanced Nursing, EarlyView.ABSTRACT Aim To demonstrate a worked‐out example of a Bayesian independent t‐test using open‐source software, simulated data, a hypothetical nurse education intervention and a randomised controlled study design. This tutorial explains relevant Bayesian concepts and highlights literature that provides statistically principled justifications for ...
Helen Evelyn Malone, Imelda Coyne
wiley +1 more source
Tensor Changepoint Detection and Eigenbootstrap
Journal of Time Series Analysis, EarlyView.ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta +2 more
wiley +1 more source
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
Journal of Time Series Analysis, EarlyView.ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley +1 more source
Efficient Numerical Quadrature for Highly Oscillatory Integrals with Bessel Function Kernels
MathematicsIn this paper, we investigate efficient numerical methods for highly oscillatory integrals with Bessel function kernels over finite and infinite domains. Initially, we decompose the two types of integrals into the sum of two integrals.
Guo He, Yuying Liu
doaj +1 more source
Spontaneous Strategies Used During Novel Word Learning
Language Learning, EarlyView.Abstract This online study examined spontaneous strategies of English‐speaking adults during associative word learning, the relationship of these strategies with learning outcomes and within‐task evolution of strategy use. Participants were to learn to name 14 object–pseudoword pairs across five successive encoding/recall blocks, followed by delayed ...
Matti Laine +4 more
wiley +1 more source
The fundamental theorem of asset pricing with and without transaction costs
Mathematical Finance, Volume 35, Issue 2, Page 567-609, April 2025.Abstract We prove a version of the fundamental theorem of asset pricing (FTAP) in continuous time that is based on the strict no‐arbitrage condition and that is applicable to both frictionless markets and markets with proportional transaction costs. We consider a market with a single risky asset whose ask price process is higher than or equal to its ...
Christoph Kühn
wiley +1 more source
Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT This study proposes a Bayesian approach for finite‐sample inference of the Gaussian copula endogeneity correction. Extant studies use frequentist inference, build on a priori computed estimates of marginal distributions of explanatory variables, and use bootstrapping to obtain standard errors. The proposed Bayesian approach facilitates precise
Rouven E. Haschka
wiley +1 more source
Computational analysis to assess hemodynamic forces in descending thoracic aortic aneurysms
The Journal of Physiology, EarlyView.Abstract figure legend Left: Pre‐processing. First, we perform the segmentation of the Computer Tomography angiorgraphy (angio‐CT) scans of a healthy patient, obtaining the surface of a healthy thoracic aorta with a Type III aortic arch. Then, we build nine ideal configurations with Descending Thoracic Aortic Aneurysm (DTAA), varying the aortic arch ...
Francesca Duca +7 more
wiley +1 more source