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Signature moments to characterize laws of stochastic processes

Signature moments to characterize laws of stochastic processes

25 October 2018
I. Chevyrev
Harald Oberhauser
ArXivPDFHTML

Papers citing "Signature moments to characterize laws of stochastic processes"

14 / 14 papers shown
Title
High Rank Path Development: an approach of learning the filtration of
  stochastic processes
High Rank Path Development: an approach of learning the filtration of stochastic processes
Jiajie Tao
Hao Ni
Chong Liu
21
0
0
23 May 2024
Signature Isolation Forest
Signature Isolation Forest
Guillaume Staerman
M. Campi
Gareth W. Peters
Tomoko Matsui
53
0
0
07 Mar 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CML
BDL
44
8
0
28 Feb 2024
PCF-GAN: generating sequential data via the characteristic function of
  measures on the path space
PCF-GAN: generating sequential data via the characteristic function of measures on the path space
Hang Lou
Siran Li
Hao Ni
AI4TS
41
10
0
21 May 2023
G-Signatures: Global Graph Propagation With Randomized Signatures
G-Signatures: Global Graph Propagation With Randomized Signatures
Bernhard Schafl
Lukas Gruber
Johannes Brandstetter
Sepp Hochreiter
22
2
0
17 Feb 2023
Kernelized Cumulants: Beyond Kernel Mean Embeddings
Kernelized Cumulants: Beyond Kernel Mean Embeddings
Patric Bonnier
Harald Oberhauser
Zoltan Szabo
33
5
0
29 Jan 2023
Signature-based validation of real-world economic scenarios
Signature-based validation of real-world economic scenarios
Hervé Andrès
Alexandre Boumezoued
B. Jourdain
26
5
0
02 Aug 2022
A Fourier representation of kernel Stein discrepancy with application to
  Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
George Wynne
Mikolaj Kasprzak
Andrew B. Duncan
25
4
0
09 Jun 2022
Capturing Graphs with Hypo-Elliptic Diffusions
Capturing Graphs with Hypo-Elliptic Diffusions
Csaba Tóth
Darrick Lee
Celia Hacker
Harald Oberhauser
21
12
0
27 May 2022
Learning the conditional law: signatures and conditional GANs in
  filtering and prediction of diffusion processes
Learning the conditional law: signatures and conditional GANs in filtering and prediction of diffusion processes
Fabian Germ
Marc Sabate Vidales
DiffM
23
0
0
01 Apr 2022
Sig-Wasserstein GANs for Time Series Generation
Sig-Wasserstein GANs for Time Series Generation
Hao Ni
Lukasz Szpruch
Marc Sabate Vidales
Baoren Xiao
Magnus Wiese
Shujian Liao
SyDa
AI4TS
19
73
0
01 Nov 2021
Feature Engineering with Regularity Structures
Feature Engineering with Regularity Structures
I. Chevyrev
A. Gerasimovičs
H. Weber
30
10
0
12 Aug 2021
Neural Controlled Differential Equations for Irregular Time Series
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger
James Morrill
James Foster
Terry Lyons
AI4TS
25
451
0
18 May 2020
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
Arthur Gretton
BDL
109
324
0
09 Feb 2016
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