Results 111 to 120 of about 75,997 (278)

Estimating the Joint Probability of Scenario Parameters With Gaussian Mixture Copula Models

IEEE Open Journal of Intelligent Transportation Systems
This paper presents the first application of Gaussian Mixture Copula Models to the statistical modeling of driving scenarios for the safety validation of automated driving systems. Knowledge of the joint probability distribution of scenario parameters is
Christian Reichenbacher, Philipp Rank, Jochen Hipp, Oliver Bringmann   +3 more
doaj   +1 more source

Data reconciliation in multi‐trait experiments with kinship ordination

Methods in Ecology and Evolution, EarlyView.
Abstract A central aim in biology is understanding the heritability of traits and how trait interactions contribute to success in diverse environments. Experiments that record multiple traits from individuals of known pedigree or genetic relatedness in distinct environments are key to addressing this aim.
Justin J. Van Ee, Megan L. Vahsen, Diana Gamba, Toby M. Maxwell, Bill E. Davidson, Brynne E. Lazarus, Lauren M. Porensky, Ruth Hufbauer, Matthew J. Germino, Peter B. Adler, Jesse R. Lasky, Mevin B. Hooten   +11 more
wiley   +1 more source

Efficient Modeling of the Energy Sector Using a New Bivariate Copula

Mathematics
Copulas are a useful tool to generate bivariate distributions from the univariate marginals. This method is also useful to generate bivariate families of distributions. In this paper, a new copula has been proposed. Some useful properties of the proposed
Jumanah Ahmed Darwish, Muhammad Qaiser Shahbaz   +1 more
doaj   +1 more source

Improved Frechet bounds and model-free pricing of multi-asset options

, 2011
Improved bounds on the copula of a bivariate random vector are computed when partial information is available, such as the values of the copula on a given subset of $[0,1]^2$, or the value of a functional of the copula, monotone with respect to the ...
Tankov, Peter
core  

Corneal power modelling with OCT data – Thin and thick lens paraxial models versus raytracing

Acta Ophthalmologica, EarlyView.
Abstract Background Evaluating keratometric power with Zeiss index (PKZ), paraxial thick cornea power (Gullstrand [PG]) and power referenced to the front (PFV) and back vertex plane (PBV) and raytracing power (PR), and modelling the deviation from PKZ with a multivariable linear prediction model.
Achim Langenbucher, Nóra Szentmáry, Alan Cayless, Peter Hoffmann, Jascha Wendelstein   +4 more
wiley   +1 more source

Strictly Archimedean copulas with complete association for multivariate dependence based on the Clayton family

Dependence Modeling, 2018
The family of Clayton copulas is one of the most widely used Archimedean copulas for dependency measurement. A major drawback of this copula is that when it accounts for negative dependence, the copula is nonstrict and its support is dependent on the ...
Cooray Kahadawala
doaj   +1 more source

Can Technological and Customer Competencies Enable the Firm to Be Greener? Simultaneous Consideration of Resource‐Based View and Social License to Operate

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT This research explores the contribution of firm competencies and green management practices to enhancing a firm's sustainable performance. It examines the effects of technological competencies (TC) and customer competencies (CC) through the lens of a competence‐based view (CBV) framework, particularly focusing on their influence on green ...
Tongkyu Kim, Hyeonyu Son, Yu Ri Kim, Jiyeon Han, Yunze Cho, Taewoo Roh   +5 more
wiley   +1 more source

\(H\)-extendible copulas

Journal of Multivariate Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mai, Jan-Frederik, Scherer, Matthias
openaire   +1 more source

LLM‐based prior elicitation for Bayesian graphical modeling

British Journal of Mathematical and Statistical Psychology, EarlyView.
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski, Meike Waaijers, Giuseppe Arena   +2 more
wiley   +1 more source

Modeling Multivariate Distributions with Continuous Margins Using the copula R Package

Journal of Statistical Software, 2010
The copula-based modeling of multivariate distributions with continuous margins is presented as a succession of rank-based tests: a multivariate test of randomness followed by a test of mutual independence and a series of goodness-of-fit tests.
Ivan Kojadinovic, Jun Yan
doaj