Results 71 to 80 of about 32,012 (272)
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Don't You Know That You're Toxic? How Influencer‐Driven Misinformation Fuels Online Toxicity
ABSTRACT Research on misinformation has focused on message content and cognitive bias, overlooking how source type shapes toxic engagement. This study addresses that gap by showing that influencer‐driven misinformation does not merely increase toxicity: it reconfigures its nature and persistence through relational and social influence mechanisms ...
Giandomenico Di Domenico +2 more
wiley +1 more source
About tests of the “simplifying” assumption for conditional copulas [PDF]
We discuss the so-called “simplifying assumption” of conditional copulas in a general framework. We introduce several tests of the latter assumption for non- and semiparametric copula models.
A. Derumigny, Jean-David Fermanian
semanticscholar +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
This paper presents new classes of strong fuzzy negations, fuzzy implications and Copulas. It begins by presenting two theorems with function classes involving the construction of strong fuzzy negations.
Panagiotis Georgiou Mangenakis +1 more
doaj +1 more source
New copulas based on general partitions-of-unity and their applications to risk management (part II)
We present a constructive and self-contained approach to data driven infinite partition-of-unity copulas that were recently introduced in the literature.
Pfeifer Dietmar +2 more
doaj +1 more source
Examination and visualisation of the simplifying assumption for vine copulas in three dimensions [PDF]
Vine copulas are a highly flexible class of dependence models, which are based on the decomposition of the density into bivariate building blocks. For applications one usually makes the simplifying assumption that copulas of conditional distributions are
Matthias Killiches +2 more
semanticscholar +1 more source
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
On comprehensive families of copulas involving the three basic copulas and transformations thereof
Comprehensive families of copulas including the three basic copulas (at least as limit cases) are useful tools to model countermonotonicity, independence, and comonotonicity of pairs of random variables on the same probability space. In this contribution,
Saminger-Platz Susanne +4 more
doaj +1 more source
Adaptive Bernstein Copulas and Risk Management
We present a constructive approach to Bernstein copulas with an admissible discrete skeleton in arbitrary dimensions when the underlying marginal grid sizes are smaller than the number of observations.
Dietmar Pfeifer, Olena Ragulina
doaj +1 more source

