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dedup_wf_001--eb4b2240e44203e9b7afc2b60a887982
An essential role of the FAMOS international cooperation project is to obtain new marine gravity observations over the Baltic Sea for improving gravimetric geoid modelling. To... -
Multiple regression model averaging and the focused information criterion wit...
We consider multiple regression (MR) model averaging using the Focused Informati on Criterion (FIC). Our approach is motivated by the problem of implementing a mean-variance... -
An appraisal of pivotal evaluation designs in validating noninvasive biomarke...
An appraisal of pivotal evaluation designs in validating noninvasive biomarkers for head and neck cancer detection -
On Design Orthogonality, Maximin Distance, and Projection Uniformity for Comp...
Space-filling designs are widely used in both computer and physical experiments. Column-orthogonality, maximin distance, and projection uniformity are three basic and popular... -
A minimalistic approach for evapotranspiration estimation using the Prophet m...
This study aimed to evaluate the potential of the recently introduced Prophet model for estimating reference evapotranspiration (ETo). A comparative study was conducted for... -
Evaluation of Model Fit in Structural Equation Models with Ordinal Missing Da...
In many applied situations, the questionnaire items in measurement instruments do not approximate continuous, normally distributed variables but instead are ordinal. Properties... -
dedup_wf_001--53585fd2ae74e46f2b28de670d1bd787
This paper provides insights into trademark activity at the regional level via two objectives. First, it examines the relationship between technological capabilities and new... -
Designing a data-driven leagile sustainable closed-loop supply chain network
Nowadays, there is a great deal of interest in applying sustainability concepts for logistics and supply chain management. This paper proposes a new multi objective model in the... -
Allocating outreach resources for disease control in a dynamic population wit...
Infected individuals must be aware of disease symptoms to seek care, so outreach and education programs are critical to disease control. However, public health organizations... -
dedup_wf_001--cb0d03892af33ee8063f732ae96b1c08
We show how a factor analysis model can be fitted to nominal data using the computer program Mplus. The model is akin to multinomial logistic regression with unobserved... -
Detecting asthma exacerbations using daily home monitoring and machine learning
Objective: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to... -
A hierarchical algorithm for multicentric matched cohort study designs
Lack of structural equality is a major issue to be addressed in observational studies. Their major disadvantage of these studies compared to randomized controlled trials is the... -
Monitoring the effects of vehicle components’ size on optimum structural cras...
To determine the effects of vehicle components’ size on the optimum structural crashworthiness of a vehicle, sufficient data on the expected crash behaviour are required.... -
Inter- and intra-city networks: how networks are shaping China’s film industry
While existing studies have mapped out various networks with some visualization techniques, we move one step forward by examining if city/firm performance is dependent not only... -
Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochasti...
We develop a flexible modeling and estimation framework for a high-dimensional factor stochastic volatility (SV) model. Our specification allows for leverage effects, asymmetry... -
Scalable module detection for attributed networks with applications to breast...
The objective of network module detection is to identify groups of nodes within a network structure that are tightly connected. Nodes in a network often have attributes (aka... -
Mapping runoff generating areas using AGNPS-VSA model
In humid regions, surface runoff is often generated by saturation-excess runoff mechanisms from relatively small variable source areas (VSAs). However, the majority of the... -
An adaptive two-stage dual metamodeling approach for stochastic simulation ex...
In this paper we propose an adaptive two-stage dual metamodeling approach for stochastic simulation experiments, aiming at exploiting the benefits of fitting the mean and... -
Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal
Traditional Markov chain Monte Carlo (MCMC) algorithms are computationally intensive and do not scale well to large data. In particular, the Metropolis–Hastings (MH) algorithm...
