-
dedup_wf_001--9a38276620d50987383dbe8a8651695f
Consensus thresholds play a significant role in consensus checking and reaching in group decision-making problems. The existing studies contribute very few guidelines and leave... -
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... -
Measuring subnational democracy: toward improved regime typologies and theori...
ABSTRACTSocial scientists have been limited in their work by the paucity of global time series data about subnational institutions and practices. Such data could help scholars... -
A multi-level weighted transformation based neuro-fuzzy domain adaptation tec...
In this manuscript, a neuro-fuzzy domain adaptation (DA) technique has been proposed for a multi-level incremental transformation of the source-target features to find an... -
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... -
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... -
A public-private partnership for the express development of antiviral leads: ...
The COVID-19 pandemic raises the question of strategic readiness for emergent pathogens. The current case illustrates that the cost of inaction can be higher in the future. The... -
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... -
dedup_wf_001--ecaf53e9c59169c7ac0b29aebb317cb5
Typically, cardiac substructures are neither delineated nor analyzed during radiation treatment planning. Therefore, we developed a novel machine learning model to evaluate the... -
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... -
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... -
Unveiling the diversity of spatial data infrastructures in Latin America: evi...
Geospatial information has transformed into a primary consumer good in our society. Worldwide, governmental organizations have contributed to this reality through Spatial Data... -
Responsible innovation in school design – a systematic review
This paper considers Responsible Innovation (RI) in relation to the design, construction and use of new schools. Drawing on empirical findings from recent international research... -
Twenty-five years of optical coherence tomography: the paradigm shift in sens...
Optical coherence tomography (OCT) has become one of the most successful optical technologies implemented in medicine and clinical practice mostly due to the possibility of...
