Results 101 to 110 of about 68,246 (249)

Revisiting the Health Spending‐Growth Nexus

Journal of Economic Surveys, EarlyView.
ABSTRACT The relationship between health spending and economic growth is shaped by multiple transmission channels, leading to inconsistencies in the empirical literature and a lack of definitive conclusions. To address this issue, we perform a meta‐analysis encompassing 522 estimates from 107 studies that examine the effect of health spending on ...
Andreas Sintos, Michael Chletsos, Eleni Xydea   +2 more
wiley   +1 more source

From gateway to value ladder—The curious case of online mutual aid in China

Journal of Risk and Insurance, EarlyView.
Abstract This study examines how InsurTech‐enabled information provision, specifically the disclosure of claimant information previously unavailable in conventional insurance, influences individuals' insurance uptake. We leverage Mutual Aid (MA) platforms as a natural context to examine how socially framed loss information, peer influence, and salience
Ze Chen, Runhuan Feng, Miao Guo, Tianyang Wang   +3 more
wiley   +1 more source

A perspective on automated rapid eye movement sleep assessment

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
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

Measure‐valued processes for energy markets

Mathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero, Luca Di Persio, Francesco Guida, Sara Svaluto‐Ferro   +3 more
wiley   +1 more source

Edge based distributed framework for real time hazard detection and road safety in smart transportation. [PDF]

Sci Rep
Sahu D, Prakash S, Pandey VK, Dixit P, Yang T, Rathore RS, Wang L, Alkhrijah Y, Cengiz K.   +8 more
europepmc   +1 more source

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

Mathematical Finance, EarlyView.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici, Gianluca Fusai, Anna Maria Gambaro, Daniele Marazzina   +3 more
wiley   +1 more source

Automation and Augmentation in Theological Perspective

Modern Theology, EarlyView.
Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley   +1 more source

Addressing lightning and market uncertainties in self-scheduling: A fuzzy-markov approach for smart grids. [PDF]

Sci Rep
Benistan IS, Shahbazzadeh MJ, Eslami M.
europepmc   +1 more source

Least Trimmed Squares: Cointegration and Outliers

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT When applying the cointegrated autoregressive distributed lag model it is common to include indicator variables for outliers. This is often done in a somewhat ad hoc way. Least Trimmed Squares estimation provides a more systematic approach. This estimator is robust to a large number of outliers of many types.
Vanessa Berenguer‐Rico, Bent Nielsen
wiley   +1 more source