1 School of Informatics, Institute for Adaptive and Neural Computation, University of Edinburgh, Edinburgh, United Kingdom 2 Centre for Discovery Brain Sciences, Edinburgh Medical School: Biomedical ...

1 School of Economics and Management, Institute of Disaster Prevention, Langfang, China 2 China Agriculture Reinsurance Corporation Beijing, Beijing, China The purpose of this paper is to estimate ...

For example, probability mass in the copula space for neurons that would fire from 0 to 5 spikes in a given time bin, would have to be assigned to blocks that correspond to the relative proportions of ...

The core of our method is to compute a differentially private copula function from which we can sample synthetic data. Copula functions are used to describe the dependence between multivariate random ...

Copulas are an innovative tool in finance to separate marginal distributions, for example of single asset returns, from their dependence structure in modelling multivariate distributions. In principle ...

Copula Lab is an end-to-end environment for constructing, calibrating, and studying multivariate copulas. The repository combines a typed Python toolkit with a Streamlit interface so quantitative ...

cors <- vapply(list(X.nc, X.gc, X.cc, X.tc), function(x) cor(x)[1,2], NA_real_) stopifnot(all.equal(cors, rep(0.7, 4), tol = 0.015)) ## Define the corresponding (meta ...