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ORCIDMarius Hofert
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2020 – today
- 2024
[j21]Takaaki Koike
, Marius Hofert:
Comparison of correlation-based measures of concordance in terms of asymptotic variance. J. Multivar. Anal. 201: 105265 (2024)- [c3]Yang Liu, Marius Hofert:
Implicit and Explicit Policy Constraints for Offline Reinforcement Learning. CLeaR 2024: 499-513 - [c2]Yang Liu, Marius Hofert:
Policy Optimization by Looking Ahead for Model-based Offline Reinforcement Learning. ICRA 2024: 2791-2797 - 2023
- [j20]Marius Hofert, Avinash Prasad, Mu Zhu:
Dependence Model Assessment and Selection with DecoupleNets. J. Comput. Graph. Stat. 32(4): 1272-1286 (2023) - 2022
- [j19]Erik Hintz, Marius Hofert, Christiane Lemieux:
Multivariate Normal Variance Mixtures in R: The R Package nvmix. J. Stat. Softw. 102(2) (2022) - [i6]Marius Hofert, Avinash Prasad, Mu Zhu:
Dependence model assessment and selection with DecoupleNets. CoRR abs/2202.03406 (2022) - 2021
- [j18]Jan Górecki, Marius Hofert, Ostap Okhrin:
Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation. Comput. Stat. Data Anal. 155: 107109 (2021) - [j17]Erik Hintz, Marius Hofert, Christiane Lemieux:
Normal variance mixtures: Distribution, density and parameter estimation. Comput. Stat. Data Anal. 157: 107175 (2021) - [j16]Marius Hofert, Avinash Prasad, Mu Zhu:
Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks. J. Comput. Graph. Stat. 30(3): 647-670 (2021) - [i5]Marius Hofert, Avinash Prasad, Mu Zhu:
RafterNet: Probabilistic predictions in multi-response regression. CoRR abs/2112.03377 (2021) - 2020
- [j15]Marius Hofert, Wayne Oldford:
Zigzag Expanded Navigation Plots in R: The R Package zenplots. J. Stat. Softw. 95(1) (2020) - [c1]Marius Hofert, Avinash Prasad, Mu Zhu:
Applications of Multivariate Quasi-Random Sampling with Neural Networks. MCQMC 2020: 273-289 - [i4]Marius Hofert, Avinash Prasad, Mu Zhu:
Multivariate time-series modeling with generative neural networks. CoRR abs/2002.10645 (2020) - [i3]Marius Hofert:
Random number generators produce ties: Why and how many. CoRR abs/2003.08009 (2020) - [i2]Marius Hofert, Avinash Prasad, Mu Zhu:
Applications of multivariate quasi-random sampling with neural networks. CoRR abs/2012.08036 (2020)
2010 – 2019
- 2019
- [j14]Marius Hofert, Wayne Oldford, Avinash Prasad, Mu Zhu:
A framework for measuring association of random vectors via collapsed random variables. J. Multivar. Anal. 172: 5-27 (2019) - 2018
- [j13]Marius Hofert, Raphaël Huser, Avinash Prasad:
Hierarchical Archimax copulas. J. Multivar. Anal. 167: 195-211 (2018) - [i1]Marius Hofert, Avinash Prasad, Mu Zhu:
Quasi-random number generators for multivariate distributions based on generative neural networks. CoRR abs/1811.00683 (2018) - 2017
- [j12]Mathieu Cambou, Marius Hofert, Christiane Lemieux:
Quasi-random numbers for copula models. Stat. Comput. 27(5): 1307-1329 (2017) - 2016
- [j11]Jan Górecki, Marius Hofert, Martin Holena:
An approach to structure determination and estimation of hierarchical Archimedean Copulas and its application to Bayesian classification. J. Intell. Inf. Syst. 46(1): 21-59 (2016) - 2015
- [j10]Oliver Grothe, Marius Hofert:
Construction and sampling of Archimedean and nested Archimedean Lévy copulas. J. Multivar. Anal. 138: 182-198 (2015) - 2013
- [j9]Marius Hofert, Frédéric Vrins:
Sibuya copulas. J. Multivar. Anal. 114: 318-337 (2013) - [j8]Marius Hofert, David Pham:
Densities of nested Archimedean copulas. J. Multivar. Anal. 118: 37-52 (2013) - [j7]Paul Embrechts, Marius Hofert:
A note on generalized inverses. Math. Methods Oper. Res. 77(3): 423-432 (2013) - [j6]Marius Hofert:
On Sampling from the Multivariate t Distribution. R J. 5(2): 129 (2013) - 2012
- [j5]Marius Hofert, Martin Mächler, Alexander J. McNeil:
Likelihood inference for Archimedean copulas in high dimensions under known margins. J. Multivar. Anal. 110: 133-150 (2012) - 2011
- [j4]Marius Hofert:
Efficiently sampling nested Archimedean copulas. Comput. Stat. Data Anal. 55(1): 57-70 (2011) - [j3]Marius Hofert:
Sampling Exponentially Tilted Stable Distributions. ACM Trans. Model. Comput. Simul. 22(1): 3:1-3:11 (2011) - 2010
- [j2]Christian Hering, Marius Hofert, Jan-Frederik Mai, Matthias Scherer:
Constructing hierarchical Archimedean copulas with Lévy subordinators. J. Multivar. Anal. 101(6): 1428-1433 (2010)
2000 – 2009
- 2008
- [j1]Marius Hofert:
Sampling Archimedean copulas. Comput. Stat. Data Anal. 52(12): 5163-5174 (2008)
Coauthor Index
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