Results 141 to 150 of about 13,577 (270)

Asymmetric Pass‐Through and Competition

The Journal of Industrial Economics, EarlyView.
ABSTRACT We study the retail price pass‐through of four major tax changes in petroleum products using daily pricing data from gas stations on small Greek islands. We find that (i) the pass‐through of the tax hikes is five times higher than for the tax decrease, (ii) the pass‐through of the tax hikes increases with competition, while that of the tax ...
Christos Genakos, Yuan Lyu, Mario Pagliero   +2 more
wiley   +1 more source

Dynamic Probit Models With Network Interdependence and Unobserved Heterogeneity With an Application to Multinational‐Firm Participation in China

Journal of Regional Science, EarlyView.
ABSTRACT In many areas of regional/spatial economics, we are faced with analyzing discrete dynamic choice problems of economic agents interacting with some network structure through general equilibrium, input‐output links, or strategic interaction. Stochastic estimating equations for such problems can be difficult for many practitioners to estimate ...
Peter H. Egger, Michaela Kesina
wiley   +1 more source

Bayes-Adaptive Impulse Control of Piecewise-Deterministic Markov Processes [PDF]

We introduce a Bayes-adaptive framework for controlling Piecewise-Deterministic Markov Processes (PDMPs) under partial observability and uncertain parameters.PDMPs form a class of continuous-time Markov processes that capture hybrid (discrete–continuous)
Vinyals, Meritxell, de Saporta, Benoîte, Rossini, Orlane, Cleynen, Alice, Sabbadin, Régis   +4 more
core  

An Overview and Recent Developments in the Analysis of Multistate Processes. [PDF]

Stat Med
Gorfine M, Cook RJ, Kragh Andersen P, Therneau TM, Joly P, Putter H, Pohar Perme M, Abrahamowicz M, Topic Group 8 “Survival Analysis” of the STRATOS Initiative.   +8 more
europepmc   +1 more source

The Use of Artificial Intelligence in Neonatal Seizure Detection: An Artificial Intelligence‐Assisted Systematic Review

Journal of Paediatrics and Child Health, EarlyView.
ABSTRACT Background Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures. Methods We searched PubMed and CENTRAL (covering Medline, EMBASE, CINAHL and trial registries) (29 December 2025) for studies that evaluated the use of all AI applications for ...
Nai Ming Lai, Kee Thai Yeo, Juin Yee Kong, Menghao Duan, Shaun Wen Huey Lee, Nathorn Chaiyakunapruk, Karan Varshney, Colleen Ovelman, Kee‐Hsin Chen   +8 more
wiley   +1 more source

California's vernal‐pool mousetails (Myosurus, Ranunculaceae): Phylogenetic analysis of ddRADseq data, hybridization tests, and species delimitation

Journal of Systematics and Evolution, EarlyView.
We present the first phylogenetic analysis of the Californian species of Myosurus. Our ddRADseq analysis reveals considerably more diversity than what was recognized in recent floristic treatments. Myosurus minimus subsp. apus was found to be a rare species restricted to Southern California and northwestern Baja California.
R. Douglas Stone, J. Travis Columbus, Aaron E. Sims   +2 more
wiley   +1 more source

Advances in Biosimilars: A Systematic Review of Machine Learning Applications. [PDF]

Pharmaceuticals (Basel)
Duarte V, Bas TG.
europepmc   +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

Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. [PDF]

PLoS One
Raherinirina A, Tsilefa ST, Nirilanto T, Manou-Abi SM.   +3 more
europepmc   +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