Thomas Nagler

Citirano

	Sve	Od 2020.
Citati	1772	1331
H-indeks	19	18
i10-indeks	28	25

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Suautori

Claudia CzadoAssociate Professor for Applied Mathematical StatisticsPotvrđena adresa e-pošte na ma.tum.de
Thibault VatterColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
Benedikt Gräler52°North Initiative for Geospatial Open Source Software GmbHPotvrđena adresa e-pošte na 52north.org
Aleksey MinTechnical University of MunichPotvrđena adresa e-pošte na tum.de
Harry JoePotvrđena adresa e-pošte na ubc.ca
Robin HoganSenior Scientist, ECMWF, and Professor of Atmospheric Physics, University of ReadingPotvrđena adresa e-pošte na reading.ac.uk
Christian SchellhasePotvrđena adresa e-pošte na wiwi.uni-bielefeld.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichPotvrđena adresa e-pošte na stat.uni-muenchen.de
Robert McCallSenior researcher at DeltaresPotvrđena adresa e-pošte na deltares.nl
Wiebke JägerAssistant ProfessorPotvrđena adresa e-pošte na vu.nl
Matthias FeurerLMU MunichPotvrđena adresa e-pošte na stat.uni-muenchen.de
Kjersti AasAssistant research director Norsk RegnesentralPotvrđena adresa e-pošte na nr.no
Anders LølandResearch Director, Norwegian Computing Center (Norsk Regnesentral)Potvrđena adresa e-pošte na nr.no
Martin JullumNorwegian Computing CenterPotvrđena adresa e-pošte na nr.no
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityPotvrđena adresa e-pošte na upb.de
Lisa WimmerPhD student, University of Munich (LMU)Potvrđena adresa e-pošte na stat.uni-muenchen.de
Paul HofmanLudwig Maximilian University of MunichPotvrđena adresa e-pošte na ifi.lmu.de
Yusuf SaleLMU Munich, MCMLPotvrđena adresa e-pošte na ifi.lmu.de
Catherijne A.J. KnibbeProfessor of Individualized Drug Treatment, Leiden UniversityPotvrđena adresa e-pošte na antoniusziekenhuis.nl
Tingjie GuoAssistant Professor at Leiden UniversityPotvrđena adresa e-pošte na lacdr.leidenuniv.nl

Prati

Thomas Nagler

LMU Munich, Munich Center for Machine Learning

Potvrđena adresa e-pošte na lmu.de - Početna stranica

mathematical statistics computational statistics copulas statistical learning statistical software


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
VineCopula: statistical inference of vine copulas T Nagler, U Schepsmeier, J Stoeber, EC Brechmann, B Graeler, T Erhardt, ... R package version 2.1.3, 2019	534*	2019
Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas T Nagler, C Czado Journal of Multivariate Analysis 151, 69-89, 2016	192	2016
Vine copula based modeling C Czado, T Nagler Annual Review of Statistics and Its Application 9 (1), 453-477, 2022	138	2022
kdecopula: An R package for the kernel estimation of bivariate copula densities T Nagler Journal of Statistical Software 84 (7), 1--22, 2018	87*	2018
Model selection in sparse high-dimensional vine copula models with an application to portfolio risk T Nagler, C Bumann, C Czado Journal of Multivariate Analysis 172, 180-192, 2019	84	2019
rvinecopulib: High performance algorithms for vine copula modeling T Nagler, T Vatter R package version, 2018	74*	2018
Nonparametric estimation of simplified vine copula models: comparison of methods T Nagler, C Schellhase, C Czado Dependence Modeling 5 (1), 99-120, 2017	69	2017
Generalized additive models for pair-copula constructions T Vatter, T Nagler Journal of Computational and Graphical Statistics 27 (4), 715-727, 2018	57	2018
Stationary vine copula models for multivariate time series T Nagler, D Krüger, A Min Journal of Econometrics 227 (2), 305-324, 2022	43	2022
Kernel methods for vine copula estimation T Nagler Master's thesis, Technical University of Munich, 2014	41	2014
Copula-based synthetic data augmentation for machine-learning emulators D Meyer, T Nagler, RJ Hogan Geoscientific Model Development 14 (8), 5205-5215, 2021	38*	2021
D-vine quantile regression with discrete variables N Schallhorn, D Kraus, T Nagler, C Czado arXiv preprint arXiv:1705.08310, 2017	38	2017
A generic approach to nonparametric function estimation with mixed data T Nagler Statistics & Probability Letters 137, 326-330, 2018	35	2018
A statistical simulation method for joint time series of non-stationary hourly wave parameters WS Jäger, T Nagler, C Czado, RT McCall Coastal Engineering 146, 14-31, 2019	30	2019
Kde1d: Univariate kernel density estimation T Nagler, T Vatter R package version 1 (2), 1173, 2019	29	2019
vinereg: D-vine quantile regression T Nagler, D Kraus R package version 0.2. 0, 2017	29	2017
Explaining predictive models using Shapley values and non-parametric vine copulas K Aas, T Nagler, M Jullum, A Løland Dependence modeling 9 (1), 62-81, 2021	26	2021
Asymptotic analysis of the jittering kernel density estimator T Nagler Mathematical Methods of Statistics 27, 32-46, 2018	24	2018
Statistical foundations of prior-data fitted networks T Nagler The 40th International Conference on Machine Learning (ICML 2023), 2023	22	2023
Stochastic simulation of test collections: Evaluation scores J Urbano, T Nagler The 41st international ACM SIGIR conference on research & development in …, 2018	19	2018

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