Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman +3 more
wiley +1 more source
ABSTRACT Background Eating disorders are debilitating illnesses that often co‐occur with other psychiatric disorders and somatic diseases. Evidence indicates that the incidence of eating disorders has been increasing. We first examine the landscape of EDs over time, including the COVID‐19 period, via assessing the incidence of anorexia nervosa (AN ...
Nadia Micali +4 more
wiley +1 more source
ABSTRACT Objective Maladaptive exercise is a common symptom of eating disorders (EDs). While several measures exist to assess current maladaptive exercise, there are no validated self‐report tools to assess maladaptive exercise history—an important symptom domain among individuals with lifetime EDs.
Katherine Schaumberg +23 more
wiley +1 more source
Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley +1 more source
A bias-reduced estimator for generalized Poisson regression with application to carbon dioxide emission in Canada. [PDF]
Alghamdi FM +6 more
europepmc +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Bayesian generalized poisson regression analysis of number of death attributed to household air pollution and associate factors in East Africa from 2010 to 2019 and projection up to 2030. [PDF]
Endawkie A +3 more
europepmc +1 more source
Coherent Forecasting of Realized Volatility
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source
A generalized Poisson regression analysis of determinants of early neonatal mortality in Ethiopia using 2019 Ethiopian mini demographic health survey. [PDF]
Getaneh FB +5 more
europepmc +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
wiley +1 more source

