Results 111 to 120 of about 169,073 (281)

Continuous outcome estimation in N‐of‐1 trials for accelerated decision‐making

Epilepsia, EarlyView.
Abstract Objective N‐of‐1 trials aim to determine the therapeutic effect for a single individual. This individualized approach necessitates collecting multiple data points over time through repeated alternating periods of active treatment and a comparator or control condition.
Victoria Defelippe, František Bartoš, Eric‐Jan Wagenmakers, Kees P. J. Braun, Floor E. Jansen, Willem M. Otte   +5 more
wiley   +1 more source

An Investigation of Key Symptoms That Account for the Early Response Effect During Psychological Therapy for Eating Disorders

European Eating Disorders Review, EarlyView.
ABSTRACT Objective The early response effect, defined as a reliable symptomatic improvement during the initial phase of treatment, is the most robust predictor of recovery following eating disorder treatment. This study aimed to investigate which symptom domains mostly influence the early response effect. Methods Data from N = 232 adult patients (90.8%
Ammara Imtiaz, Caroline Bell, Glenn Waller, Jaime Delgadillo   +3 more
wiley   +1 more source

Field dynamics of visual perception as framed in Markov random fields of computer vision

Gestalt Theory
This is a short tutorial on the concept of the Markov random field (MRF) as applied in computer vision and its relationships with salient terms in the psychology of visual perception, especially connected with Gestalt theory.
Burigana Luigi
doaj   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Synthetic aperture radar image segmentation with quantum annealing

IET Radar, Sonar & Navigation
In image processing, image segmentation is the process of partitioning a digital image into multiple image segments. Among state‐of‐the‐art methods, Markov random fields can be used to model dependencies between pixels and achieve a segmentation by ...
Timothé Presles, Cyrille Enderli, Gilles Burel, El Houssaïn Baghious   +3 more
doaj   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

A Novel Map Matching Method Based on Improved Hidden Markov and Conditional Random Fields Model

International Journal of Digital Earth
Aiming at the inherent “labeling bias” problem of Hidden Markov Models (HMMs) in the process of low-frequency sampling rate GPS trajectory map matching, this paper proposes a map matching method that combines HMMs and Conditional Random Field Models ...
Wei Li, Youliang Chen, Shiteng Wang, Hongchong Li, Qin Fan   +4 more
doaj   +1 more source

Risk Transmission and Co‐Movements Between Financial Markets and Commodity Markets in the COVID‐19 Period

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho, H. Oliveira, M. Neves, J. Monteiro   +3 more
wiley   +1 more source

Realistic Representation, Dynamic Evolution and Determinants of Institutional Quality in China

International Studies of Economics, EarlyView.
ABSTRACT The paper delves into the role of institutional quality in bolstering China's economic resilience post‐COVID‐19, CITIC‐Entropy. It divides institutions into basic and changeable categories, establishing an index system via the CITIC‐Entropy TOPSIS model.
Susu Wang, Qidi Zhang, Jing Fang
wiley   +1 more source

A Comparative Study of IVIM‐MRI Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp, Andras Jakab, Christian Federau, Peter T. While   +3 more
wiley   +1 more source