Results 141 to 150 of about 2,059 (191)
Fitting Copulas with Maximal Entropy. [PDF]
Bubák M, Navara M.
europepmc +1 more source
ABSTRACT AI‐driven personalization now structures search, recommendation, pricing, and service across the consumer journey, heightening a core dilemma: maximizing relevance and efficiency without compromising autonomy and trust. This article advances a capability‐based account of responsible personalization.
Yu‐Ming Hsu
wiley +1 more source
ABSTRACT Exchanges in franchise systems are embedded in the level of trust that exists in franchisee–franchisor relationships. Although trust is essential in business relationships, it can unfold a negative side effect on the appreciation of exchange in these relationships as hidden costs of trust.
Matthias Glaser +2 more
wiley +1 more source
Spatiotemporal imbalance of regional water shortage risk based on copulas and concentration index. [PDF]
Qian T +9 more
europepmc +1 more source
ABSTRACT When evaluating treatment effects in progressive disease clinical trials, analyses of time to recurrent or terminal events largely ignore (or separately analyze) functional measures of disease progression over time. For instance, in pulmonary research settings, treatment may impact recurrent times‐to‐hospitalization, mortality and pulmonary ...
Lantian Xu, Susan Murray
wiley +1 more source
Neural Network Copulas for Generating Synthetic Test Data Preserving Psychometric Properties. [PDF]
Jung J, Lee M, Lee WC.
europepmc +1 more source
ABSTRACT Composite endpoints that combine recurrent non‐fatal events with a terminal event are increasingly used in randomized clinical trials, yet conventional time‐to‐first event analyses may obscure clinically relevant information. We compared two statistical frameworks tailored to such endpoints: the joint frailty model (JFM) and the last‐event ...
Adrien Orué +4 more
wiley +1 more source
A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data. [PDF]
Min S, Lac L, Hu P.
europepmc +1 more source
Amplification of Flood Hazard and Damage by Compounding Pluvial and Fluvial Flooding
Abstract Flood risk management has traditionally treated fluvial and pluvial flooding in isolation, for example, by producing inundation maps separately for each flood type. Here, we develop an integrated modeling framework capable of capturing the interplay of both flood types when they co‐occur.
Xiaoxiang Guan +8 more
wiley +1 more source
Spatial Flows of Information Entropy as Indicators of Climate Variability and Extremes. [PDF]
Twaróg B.
europepmc +1 more source

