Results 131 to 140 of about 2,241 (185)

Tracking control of air flow based on a fractional-order model of the lung impedance. [PDF]

Sci Rep
Kuzminskas H, Teixeira MCM, Galvão RKH, Assunção E, Hadjiloucas S.   +4 more
europepmc   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Radiomics based on habitat analysis in predicting parametrial invasion of early stage cervical cancer. [PDF]

Front Oncol
Yang C, Li M, Yang C, Jiang P, Yang C, Dai J, Chen B, Wang W, Qin Z, Shi T, Yi X, Jin Z.   +11 more
europepmc   +1 more source

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

Journal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source

Multi-Stream Quickest Change Detection: Foundations and Recent Advances. [PDF]

Entropy (Basel)
Halme T, Koivunen V.
europepmc   +1 more source

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

Journal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

Adaptive residual observer-based detection and isolation framework against false data injection attack in large-scale power systems. [PDF]

Sci Rep
Yu X, Gao C, Du Y, Gao B, Tian D, Hou T.
europepmc   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Chemputer and chemputation-A universal chemical compound synthesis machine. [PDF]

Proc Natl Acad Sci U S A
Cronin L, Pagel S, Sharma A.
europepmc   +1 more source

Machine Learning Methods to Predict the Length of Stay for Acute Stroke: A Scoping Review and Meta‐Analysis

Health Care Science, EarlyView.
Current machine learning models for predicting the length of stay for acute stroke lack clinical utility and reliability. This scoping review highlights areas for improvement to develop more robust, interpretable, generalizable, and clinically actionable models that optimize personalized clinical pathways and support precise decision‐making for stroke ...
Zhenran Xu, Monique F. Kilkenny, Tzu‐Yung Kuo, Jia Rong, Lachlan L. Dalli   +4 more
wiley   +1 more source