Banded totally positive matrices and normality for mixed multiple orthogonal polynomials [PDF]
Amílcar Branquinho +2 more
openalex +1 more source
Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction
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
Enhancing Human-Robot Compatibility in Shoulder Exoskeletons: Passive Joint Optimization of PP<u>RRR</u>P vs. <u>RRR</u>UP Configurations. [PDF]
Cao Q, Shan W, Liu Y, Yuan Y.
europepmc +1 more source
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 Products for the Hamiltonian Density Property. [PDF]
Andrist RB, Huang G.
europepmc +1 more source
Direct and Indirect Effects of the COVID‐19 Pandemic on EU Agri‐Food Trade
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]
Abbott EN +7 more
europepmc +1 more source
Reduced rank regression for mixed predictor and response variables
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
Variational Method for Vibration Analysis of Elliptic Cylinders Reinforced with Functionally Graded Carbon Nanotubes. [PDF]
Gong Q, Liu T, Teng Y, Ma B, Li X.
europepmc +1 more source
Looking Back to 1991 Economic Forecasting: Introducing Cointegration
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

