Results 71 to 80 of about 77,313 (266)
Multivariate extremes at work for portfolio risk measurement [PDF]
, 2002 This paper proposes a methodology to provide risk measures for portfolios during extreme events. The approach is based on splitting the multivariate extreme value distribution of the assets of the portfolio into two parts: the distributions of each ...
Bouyé, Eric
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Development of simple predictive models of tooth loss in the community setting
Journal of Periodontology, EarlyView.Abstract Background A simple tool for predicting the risk of tooth loss is considered valuable for the implementation of early preventive measures in community settings. This study aimed to establish a simple predictive model for tooth loss in a community‐dwelling Japanese population.
Michiko Furuta +7 more
wiley +1 more source
JSFA reports, EarlyView.Abstract Background Bananas (Musa species) are an important staple food and cash crop in many parts of the world. The East African Highland cooking bananas form the backbone of food security for millions of Ugandans. The demand for high quality cooking bananas is thus closely linked to their sensory characteristics (which drive consumer preference) and
Willy Nelson Kisenyi +7 more
wiley +1 more source
Journal of Traumatic Stress, EarlyView.Abstract Previous research has shown there are racial/ethnic disparities in exposure to adverse childhood experiences (ACEs) that can affect youths’ physical and mental well‐being. Structural opportunity factors—including a lack of economic, community, educational, and health resources—may increase exposure to ACEs among youth of color relative to non ...
Bella C. King +4 more
wiley +1 more source
Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R
In this paper we present an R package called bivpois for maximum likelihood estimation of the parameters of bivariate and diagonal inflated bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented.
Dimitris Karlis, Ioannis Ntzoufras
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Multivariate Density Estimation and Visualization [PDF]
This chapter examines the use of flexible methods to approximate an unknown density function, and techniques appropriate for visualization of densities in up to four dimensions. The statistical analysis of data is a multilayered endeavor.
Scott, David W.
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Journal of Traumatic Stress, EarlyView.Abstract Self‐injurious behaviors (SIBs) represent a major public health concern in the United States. Although sexual minority individuals experience disproportionately high rates of SIBs, research identifying population‐specific risk factors remains limited. This study examined how stressful experiences common among sexual minority (SM) adults relate
Samantha M. Haas, Naomi Sadeh
wiley +1 more source
Testing for Causality in Variance using Multivariate GARCH Models [PDF]
Tests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently little is known about their power properties.
Herwartz, Helmut, Hafner, Christian M.
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The Kaohsiung Journal of Medical Sciences, Volume 42, Issue 6, June 2026.ABSTRACT Pediatric asthma is a common chronic airway inflammatory disease, where accurate assessment of disease severity and prognosis prediction is crucial for treatment decisions. Currently, there is a lack of precise and effective biomarkers.
Xu Yang +5 more
wiley +1 more source
Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation [PDF]
In this paper we propose a multivariate dynamic probit model. Our model can be considered as a non-linear VAR model for the latent variables associated with correlated binary time-series data.
Bertrand Candelon +3 more
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