Results 61 to 70 of about 27,329 (175)
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
International Statistical Review, EarlyView.Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
Best Before? Expiring Central Bank Digital Currency and Loss Recovery
Journal of Money, Credit and Banking, EarlyView.Abstract Physical cash enables payments in the absence of electricity or network coverage. Such offline payment functionality promotes the operational resilience and, particularly in developing countries, the accessibility of payments. Central banks are exploring issuing digital cash substitutes with similar offline payment functionality.
CHARLES M. KAHN +2 more
wiley +1 more source
Demographic Dynamics and International Trade: Stylized Facts and Theoretical Insights
Journal of Economic Surveys, EarlyView.ABSTRACT Demographic change within a country has economic repercussions for other countries through international transactions. Ongoing shifts in population size and age structure across countries have important implications for international trade, operating through changes in market size, consumption preferences, and labor supply.
Kumuthini Sivathas
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
A Note on Local Polynomial Regression for Time Series in Banach Spaces
Journal of Time Series Analysis, EarlyView.ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley +1 more source
Language Learning, EarlyView.Abstract Parallel tracking of distant relations between speech elements, so‐called nonadjacent dependencies (NADs), is crucial in language development but computationally demanding and acquired only in late preschool years. As processing of single NADs is facilitated when dependent elements are perceptually similar, we investigated how phonetic ...
Dimitra‐Maria Kandia +3 more
wiley +1 more source
The Ontology of Haag's Local Quantum Physics. [PDF]
Entropy (Basel), 2023 Jaeger G.
europepmc +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 +3 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
Is A Little Learning Dangerous?
Noûs, EarlyView.ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source