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Search: subject:"universal approximation"
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universal approximation theorem
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universal approximation
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Askitas, Nikos
4
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1
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1
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ECONIS (ZBW)
11
EconStor
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Importance sampling for option pricing with feedforward neural networks
Arandjelović, Aleksandar
;
Rheinländer, Thorsten
; …
- In:
Finance and stochastics
29
(
2025
)
1
,
pp. 97-141
Persistent link: https://www.econbiz.de/10015394776
Saved in:
2
Universal
approximation
theorems for continuous functions of càdlàg paths and Lévy-type signature models
Cuchiero, Christa
;
Primavera, Francesca
;
Svaluto-Ferro, Sara
- In:
Finance and stochastics
29
(
2025
)
2
,
pp. 289-342
Persistent link: https://www.econbiz.de/10015394802
Saved in:
3
A Hands-on Machine Learning Primer for Social Scientists: Math, Algorithms and Code
Askitas, Nikos
-
2024
pivotal
Universal
Approximation
Theorem—an essential "existence theorem". The exposition extends to the algorithmic …
Persistent link: https://www.econbiz.de/10014567597
Saved in:
4
A Hands-On Machine Learning Primer for Social Scientists: Math, Algorithms and Code
Askitas, Nikos
-
2024
pivotal
Universal
Approximation
Theorem—an essential ”existence theorem”. The exposition extends to the algorithmic …
Persistent link: https://www.econbiz.de/10015096855
Saved in:
5
A hands-on machine learning primer for social scientists : math, algorithms and code
Askitas, Nikos
-
2024
pivotal
Universal
Approximation
Theorem - an essential "existence theorem". The exposition extends to the algorithmic …
Persistent link: https://www.econbiz.de/10014535259
Saved in:
6
A hands-on machine learning primer for social scientists : math, algorithms and code
Askitas, Nikos
-
2024
pivotal
Universal
Approximation
Theorem - an essential ”existence theorem”. The exposition extends to the algorithmic …
Persistent link: https://www.econbiz.de/10015070152
Saved in:
7
Universal
approximation
on path spaces and applications in finance
Schmocker, Philipp
-
2022
Persistent link: https://www.econbiz.de/10014248408
Saved in:
8
Risk sharing with deep neural networks
Burzoni, M.
;
Doldi, A.
;
Monzio Compagnoni, E.
- In:
Quantitative finance
24
(
2024
)
2
,
pp. 233-252
Persistent link: https://www.econbiz.de/10014551970
Saved in:
9
Designing universal causal deep learning models : the geometric (Hyper)transformer
Acciaio, Beatrice
;
Kratsios, Anastasis
;
Pammer, Gudmund
- In:
Mathematical finance : an international journal of …
34
(
2024
)
2
,
pp. 671-735
Persistent link: https://www.econbiz.de/10014514805
Saved in:
10
An artificial neural network representation of the SABR stochastic volatility model
McGhee, William A.
- In:
The journal of computational finance
25
(
2021
)
2
,
pp. 1-27
Persistent link: https://www.econbiz.de/10012938882
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