activity
20162020
most citedBernoulli and tail-dependence compatibility

32 citations · 32 across the 3 of their papers we have counts for

collaborators

9 papers

math.ST2020

Right-truncated Archimedean and related copulas

Marius Hofert

The copulas of random vectors with standard uniform univariate margins truncated from the right are considered and a general formula for such right-truncated conditional copulas is…

stat.ME2020

Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation

Jan Górecki, Marius Hofert, Ostap Okhrin

A large number of commonly used parametric Archimedean copula (AC) families are restricted to a single parameter, connected to a concordance measure such as Kendall's tau. This oft…

stat.CO2020

Random number generators produce collisions: Why, how many and more

Marius Hofert

It seems surprising that when applying widely used random number generators to generate one million random numbers on modern architectures, one obtains, on average, about 116 colli…

stat.CO2019

Normal variance mixtures: Distribution, density and parameter estimation

Erik Hintz, Marius Hofert, Christiane Lemieux

Normal variance mixtures are a class of multivariate distributions that generalize the multivariate normal by randomizing (or mixing) the covariance matrix via multiplication by a…

q-fin.RM2019

Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations

Takaaki Koike, Marius Hofert

We propose a novel framework of estimating systemic risk measures and risk allocations based on Markov chain Monte Carlo (MCMC) methods. We consider a class of allocations whose jt…

stat.ML2018

Quasi-random sampling for multivariate distributions via generative neural networks

Marius Hofert, Avinash Prasad, Mu Zhu

Generative moment matching networks (GMMNs) are introduced for generating quasi-random samples from multivariate models with any underlying copula in order to compute estimates und…