Results 171 to 180 of about 18,531 (254)
Machine learning approaches in automated infant General Movements Assessment: A scoping review
Developmental Medicine &Child Neurology, EarlyView.Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur +4 more
wiley +1 more source
Fish and Fisheries, EarlyView.ABSTRACT Several studies have demonstrated non‐stationarity in marine fish maximum per capita recruitment rate, which may be linked to regional environmental drivers. Exploring relationships between environmental drivers and time‐varying recruitment rate will provide insight into recruitment processes, and suggest how fisheries managers may adapt ...
Rachel C. Marshall +4 more
wiley +1 more source
Fisheries Management and Ecology, EarlyView.ABSTRACT To study variables that may trigger the dispersion of the currently expanding European catfish in its native distribution limits, 42 individuals were captured from Upper Lake Constance (lentic) and 42 from two streaming tributaries (lotic), fitted with pressure and temperature loggers, and released at the site of capture (control: lotic or ...
Albert Ros +4 more
wiley +1 more source
A Comparative Review of Specification Tests for Diffusion Models
International Statistical Review, EarlyView.Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
wiley +1 more source
Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method
International Statistical Review, EarlyView.Summary Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we briefly review some available methods for handling missing values and introduce the temporal Wasserstein imputation, a novel method for imputing missing data in time series.
Shuo‐Chieh Huang +2 more
wiley +1 more source
Learning in the Limit: Income Inference from Credit Extensions
The Journal of Finance, EarlyView.ABSTRACT Combining a randomized controlled trial with administrative and survey data, this paper shows that credit limit extensions significantly increase total spending and income expectations. By controlling for changes in personal income expectations, the spending response to credit limit extensions weakens by approximately 30%.
XIAO YIN
wiley +1 more source
Robust CDF‐Filtering of a Location Parameter
Journal of Time Series Analysis, EarlyView.ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
Journal of Time Series Analysis, EarlyView.ABSTRACT The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium‐to‐long‐run component of economic growth of a ...
Alessandro Giovannelli +2 more
wiley +1 more source
Market Making With Fads, Informed, and Uninformed Traders
Mathematical Finance, EarlyView.ABSTRACT We characterize the solution to a continuous‐time optimal liquidity provision problem in a market populated by informed and uninformed traders. In our model, the asset price exhibits fads —these are short‐term deviations from the fundamental value of the asset.
Emilio Barucci +2 more
wiley +1 more source
Inflation Inequality Across Household Income Groups in Brazil: Persistence, Trend and Volatility
The Manchester School, EarlyView.ABSTRACT This article investigates inflation inequality across four income strata in Brazil (very low, low, middle, and high income) from July 2006 to April 2025, using the Headline IPCA as a benchmark. We test the hypothesis that inflation dynamics and transmission mechanisms are structurally unequal and disproportionately affect lower‐income ...
Sinara do Valle, Cleomar Gomes da Silva
wiley +1 more source