Results 211 to 220 of about 3,264 (278)

Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction

open access: yesStatistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Risk prediction is a key component of survival analysis across various fields, including medicine, public health, economics, engineering, and others. The fundamental concern of risk prediction lies in the joint distribution of risk factors and the time to event.
Zhiyang Zhou   +12 more
wiley   +1 more source

A Chebyshev Polynomial‐Based Wind Speed Profile Characterization Framework: Applications in Mesoscale Model Evaluation

open access: yesWind Energy, Volume 29, Issue 2, February 2026.
ABSTRACT This study presents a polynomial‐based wind speed profile characterization framework that approximates full vertical profiles using five physically meaningful Chebyshev polynomial coefficients. The framework captures key morphological features of wind profiles, including mean wind speed, vertical shear, curvature, inflection‐related behavior ...
Harish Baki, Sukanta Basu
wiley   +1 more source

Direct and Indirect Effects of the COVID‐19 Pandemic on EU Agri‐Food Trade

open access: yesJournal of Agricultural Economics, Volume 77, Issue 1, Page 205-224, February 2026.
ABSTRACT Introducing and lifting COVID‐19 restrictions caused significant disruptions throughout the world economy, including in international trade. This study employs a panel gravity model to examine the impact of the pandemic on the agri‐food trade of EU countries.
Mariusz Hamulczuk   +3 more
wiley   +1 more source

Quantification of Chest Wall Asymmetry in Healthy Females Using Standardized Computed Tomography-Derived Curve Modeling: A Proof of Concept. [PDF]

open access: yesAesthet Surg J Open Forum
Abbott EN   +7 more
europepmc   +1 more source

Reduced rank regression for mixed predictor and response variables

open access: yesBritish Journal of Mathematical and Statistical Psychology, Volume 79, Issue 1, Page 173-206, February 2026.
Abstract In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, ordinal and numeric variables. For dealing with the categorical predictors we use optimal scaling.
Mark de Rooij   +2 more
wiley   +1 more source

Looking Back to 1991 Economic Forecasting: Introducing Cointegration

open access: yesOxford Bulletin of Economics and Statistics, Volume 88, Issue 1, Page 1-21, February 2026.
ABSTRACT Originally written in 1991 to advance the formal analysis of macroeconomic forecasting models and methods following the development of cointegration, alternative forecasting devices, conditional and unconditional forecasts, and data accuracy are considered.
David F. Hendry
wiley   +1 more source

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