Computing f‐divergences and distances of high‐dimensional probability density functions
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.1002/nla.2467
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2022
- Creator
-
Litvinenko, Alexander
Marzouk, Youssef
Matthies, Hermann G.
Scavino, Marco
Spantini, Alessio
- DOI
-
10.18154/RWTH-2022-09229
- URN
-
urn:nbn:de:101:1-2022112300392619485388
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:46 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Litvinenko, Alexander
- Marzouk, Youssef
- Matthies, Hermann G.
- Scavino, Marco
- Spantini, Alessio
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2022
Other Objects (12)
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions — Low-Rank Tensor Approximations —
Sampling from discrete distributions and computing Fréchet distances
Computing shortest path distances based on cluster-pairs
The economics of options-implied inflation probability density functions
Probability density analysis: a real space valence bond theory
Estimation and regularization of probability density functions in image processing
Estimation and regularization of probability density functions in image processing
Asymptotic statistical inferenence of scaled Bregman distances with scale connectors on finite discrete probability spaces
Zariski density and computing with infinite linear groups
Ab initio insights into the electronic structure from probability density analysis
Criticality of the net-baryon number probability distribution at finite density
A quantitative mirror on the Euribor market using implied probability density functions
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions — Low-Rank Tensor Approximations —
Sampling from discrete distributions and computing Fréchet distances
Computing shortest path distances based on cluster-pairs
The economics of options-implied inflation probability density functions
Probability density analysis: a real space valence bond theory
Estimation and regularization of probability density functions in image processing
Estimation and regularization of probability density functions in image processing
Asymptotic statistical inferenence of scaled Bregman distances with scale connectors on finite discrete probability spaces
Zariski density and computing with infinite linear groups
Ab initio insights into the electronic structure from probability density analysis
Criticality of the net-baryon number probability distribution at finite density
A quantitative mirror on the Euribor market using implied probability density functions
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions — Low-Rank Tensor Approximations —
Sampling from discrete distributions and computing Fréchet distances
Computing shortest path distances based on cluster-pairs
The economics of options-implied inflation probability density functions
Probability density analysis: a real space valence bond theory
Estimation and regularization of probability density functions in image processing
Estimation and regularization of probability density functions in image processing
Asymptotic statistical inferenence of scaled Bregman distances with scale connectors on finite discrete probability spaces
Zariski density and computing with infinite linear groups
Ab initio insights into the electronic structure from probability density analysis
Criticality of the net-baryon number probability distribution at finite density