Results 71 to 80 of about 9,365 (302)
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Canadian Journal of Statistics, EarlyView.Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Despite growing interest in SDG‐oriented business practices, limited attention has been paid to how practice maturity and managerial gender jointly shape the translation of sustainability initiatives into Sustainable Development and organizational results.
Juan Antonio Giménez Espín +2 more
wiley +1 more source
Copulas in finance and insurance [PDF]
Copulas provide a potential useful modeling tool to represent the dependence structure among variables and to generate joint distributions by combining given marginal distributions. Simulations play a relevant role in finance and insurance. They are used
Elisa M. Molanes, Rosario Romera
core
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective Self‐reported frequency measures of social media use (e.g., “How often do you use social media?”) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self‐reports of TikTok use with objective data extracted from TikTok datafiles.
Scott Griffiths +7 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Conventional single intensity measure (IM) fragility approaches with simplified component dependency assumptions overlook the progressive damage accumulation and evolving inter‐component correlations that govern system behavior under mainshock‐aftershock (MSAS) loading.
Muhammad Rashid, Mayuko Nishio
wiley +1 more source
Constructing and generalizing multivariate copulas: a generalizing approach [PDF]
Recently, Liebscher (2006) introduced a general construction scheme of d-variate copulas which generalizes the Archimedean family. Similarly, Morillas (2005) proposed a method to obtain a variety of new copulas from a given d-copula.
Fischer, Matthias J., Köck, Christian
core
Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine
Journal of Statistical Software, 2013 Flexible multivariate distributions are needed in many areas. The popular multivariate Gaussian distribution is however very restrictive and cannot account for features like asymmetry and heavy tails.
Eike Christian Brechmann +1 more
doaj
Dependence Modeling, 2018 We review various methods for constructing bivariate copulas with given diagonal sections from seminal work to the most recent research on copulas with given diagonal and opposite diagonal sections.
Fernández-Sánchez Juan +1 more
doaj +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
Journal of Forecasting, EarlyView.ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Properties of Hierarchical Archimedean Copulas [PDF]
In this paper we analyse the properties of hierarchical Archimedean copulas. This class is a generalisation of the Archimedean copulas and allows for general non-exchangeable dependency structures. We show that the structure of the copula can be uniquely
Yarema Okhrin +2 more
core