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Search: subject:"curse of dimensionality"
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Curse of dimensionality
21
curse of dimensionality
14
Stochastischer Prozess
11
Stochastic process
9
Estimation theory
7
Schätztheorie
7
Theorie
7
Theory
6
block structures
6
multivariate stochastic volatility
6
Asymptotic expansion
5
Deep learning
5
Kolmogorov PDEs
5
Malliavin calculus
5
Curse of Dimensionality
4
Option pricing theory
4
Optionspreistheorie
4
Prognoseverfahren
4
conditional moment inequalities
4
discrete choice
4
heavy-tailed distribution
4
leverage effects
4
multi-factors
4
partial identification
4
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3
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2
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43
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37
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6
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24
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35
Undetermined
8
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Asai, Manabu
6
Caporin, Massimiliano
6
McAleer, Michael
5
Takahashi, Akihiko
5
Yamada, Toshihiro
5
Lee, Sokbae
4
Chen, Le-Yu
3
Gonon, Lukas
3
Blasques, Francisco
2
Ca' Zorzi, Michele
2
Chudik, Alexander
2
Dieppe, Alistair
2
Fernández-Villaverde, Jesús
2
Giannone, Domenico
2
Iguchi, Yuga
2
Kahou, Mahdi Ebrahimi
2
Koopman, Siem Jan
2
Krätzig, Markus
2
Lenza, Michele
2
Maliar, Lilia
2
Maliar, Serguei
2
Moussa, Karim
2
Naito, Riu
2
Perla, Jesse
2
Pflüger, Dirk
2
Primiceri, Giorgio E.
2
Schober, Peter
2
Schwab, Christoph
2
Sood, Arnav
2
Valentin, Julian
2
Winschel, Viktor
2
Andrews, Donald W.K.
1
Arellano, Cristina
1
Asai, M.
1
Caporin, M.
1
Chen, Le-yu
1
Draeseke, Robert
1
Dramski, Mariusz
1
Gheyas, Iffat A.
1
Giles, David E. A.
1
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Cowles Foundation for Research in Economics, Yale University
1
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1
Department of Economics, University of Victoria
1
Erasmus University Rotterdam, Econometric Institute
1
European Central Bank
1
Facultad de Ciencias Económicas y Empresariales, Universidad Complutense de Madrid
1
Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam
1
Institute of Economic Research, Kyoto University
1
Instituto Valenciano de Investigaciones Económicas (IVIE)
1
Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät
1
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1
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4
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3
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2
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2
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1
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1
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1
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1
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1
Econometrics Working Papers
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European research studies
1
Finance and Stochastics
1
KIER Working Papers
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SFB 649 Discussion Paper
1
SFB 649 Discussion Papers
1
Tinbergen Institute Discussion Papers
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ECONIS (ZBW)
18
EconStor
12
RePEc
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1
Deep neural network expressivity for optimal stopping problems
Gonon, Lukas
- In:
Finance and stochastics
28
(
2024
)
3
,
pp. 865-910
Persistent link: https://www.econbiz.de/10015130415
Saved in:
2
Extremum Monte Carlo Filters: Real-Time Signal Extraction via Simulation and Regression
Blasques, Francisco
;
Koopman, Siem Jan
;
Moussa, Karim
-
2023
simulated and is not liable to the
curse
of
dimensionality
. Furthermore, the use of extremum estimation allows for a wide range …
Persistent link: https://www.econbiz.de/10014321789
Saved in:
3
A Probabilistic Solution to High-Dimensional Continuous-Time Macro and Finance Models
Huang, Ji
-
2023
. Deep learning streamlines the search for the probabilistic solution, which is less sensitive to the "
curse
of
…
dimensionality
." The paper proposes a straightforward algorithm and assesses its accuracy by considering a multiple-country model …
Persistent link: https://www.econbiz.de/10014377574
Saved in:
4
Extremum Monte Carlo filters : real-time signal extraction via simulation and regression
Blasques, Francisco
;
Koopman, Siem Jan
;
Moussa, Karim
-
2023
-
This version: March 23, 2023
simulated and is not liable to the
curse
of
dimensionality
. Furthermore, the use of extremum estimation allows for a wide range …
Persistent link: https://www.econbiz.de/10014247627
Saved in:
5
Solving Kolmogorov PDEs without the
curse
of
dimensionality
via deep learning and asymptotic expansion with Malliavin calculus
Takahashi, Akihiko
;
Yamada, Toshihiro
-
2023
-
This version: May 9, 2023
Persistent link: https://www.econbiz.de/10014289121
Saved in:
6
A probabilistic solution to high-dimensional continuous-time macro and finance models
Ji, Huang
-
2023
. Deep learning streamlines the search for the probabilistic solution, which is less sensitive to the "
curse
of
…
dimensionality
." The paper proposes a straightforward algorithm and assesses its accuracy by considering a multiple-country model …
Persistent link: https://www.econbiz.de/10014331249
Saved in:
7
Solving Kolmogorov PDEs without the
curse
of
dimensionality
via deep learning and asymptotic expansion with Malliavin calculus
Takahashi, Akihiko
;
Yamada, Toshihiro
-
2023
-
This version : May 9, 2023
Persistent link: https://www.econbiz.de/10014266288
Saved in:
8
Alternative dimensional reduction methods on the example of data preprocessing to build a ship exhaust model
Dramski, Mariusz
;
Mąka, Marcin
- In:
European research studies
25
(
2022
)
2
,
pp. 587-596
Persistent link: https://www.econbiz.de/10013532054
Saved in:
9
Solving high-dimensional dynamic portfolio choice models with hierarchical B-splines on sparse grids
Schober, Peter
;
Valentin, Julian
;
Pflüger, Dirk
- In:
Computational economics
59
(
2022
)
1
,
pp. 185-224
Persistent link: https://www.econbiz.de/10013168972
Saved in:
10
Deep ReLU network expression rates for option prices in high-dimensional, exponential Lévy models
Gonon, Lukas
;
Schwab, Christoph
- In:
Finance and Stochastics
25
(
2021
)
4
,
pp. 615-657
Persistent link: https://www.econbiz.de/10014497566
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