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subject:"Zeitreihenanalyse"
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~subject:"Lernprozess"
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Zeitreihenanalyse
Lernprozess
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532
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532
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85
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85
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71
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69
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67
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Computational economics
Economics letters
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238
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226
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1
Nonparametric test for volatility in clustered multiple time series
Barrios, Erniel B.
;
Redondo, Paolo Victor T.
- In:
Computational economics
63
(
2024
)
2
,
pp. 861-876
Persistent link: https://www.econbiz.de/10014475068
Saved in:
2
Stock price formation : precepts from a multi-agent reinforcement learning model
Lussange, Johann
;
Vrizzi, Stefano
;
Bourgeois-Gironde, Sacha
- In:
Computational economics
61
(
2023
)
4
,
pp. 1523-1544
Persistent link: https://www.econbiz.de/10014327067
Saved in:
3
A bootstrap method to test Granger-causality in the frequency domain
Farnè, Matteo
;
Montanari, Angela
- In:
Computational economics
59
(
2022
)
3
,
pp. 935-966
Persistent link: https://www.econbiz.de/10013169203
Saved in:
4
Statistical evaluation of deep learning models for stock return forecasting
Yilmaz, Firat Melih
;
Yildiztepe, Engin
- In:
Computational economics
63
(
2024
)
1
,
pp. 221-244
Persistent link: https://www.econbiz.de/10014472083
Saved in:
5
Stock price ranking by learning pairwise preferences
Tas, Engin
;
Atli, Ayca Hatice
- In:
Computational economics
63
(
2024
)
2
,
pp. 513-528
Persistent link: https://www.econbiz.de/10014472383
Saved in:
6
A hybrid ARFIMA wavelet artificial neural network model for DJIA index forecasting
Boubaker, Heni
;
Canarella, Giorgio
;
Gupta, Rangan
; …
- In:
Computational economics
62
(
2023
)
4
,
pp. 1801-1843
Persistent link: https://www.econbiz.de/10014437593
Saved in:
7
Modeling Bitcoin prices using signal processing methods, Bayesian optimization, and deep neural networks
Tripathi, Bhaskar
;
Sharma, Rakesh Kumar
- In:
Computational economics
62
(
2023
)
4
,
pp. 1919-1945
Persistent link: https://www.econbiz.de/10014442577
Saved in:
8
Extracting rules via Markov chains for cryptocurrencies returns forecasting
Felix do Nascimento, Kerolly Kedma
;
Santos, Fábio …
- In:
Computational economics
61
(
2023
)
3
,
pp. 1095-1114
Persistent link: https://www.econbiz.de/10014252144
Saved in:
9
Use of econometric predictors and artificial neural networks for the construction of stock market investment bots
Nametala, Ciniro A. L.
;
Souza, Jonas Villela de
; …
- In:
Computational economics
61
(
2023
)
2
,
pp. 743-773
Persistent link: https://www.econbiz.de/10014228461
Saved in:
10
Economic categorizing based on DFT-induced supervised learning
Chen, Ray-Ming
- In:
Computational economics
59
(
2022
)
1
,
pp. 125-150
Persistent link: https://www.econbiz.de/10013168929
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11
Finite sample lag adjusted critical values of the ADF-GLS test
Sephton, Peter S.
- In:
Computational economics
59
(
2022
)
1
,
pp. 177-183
Persistent link: https://www.econbiz.de/10013168958
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12
A Wiener-Kolmogorov filter for seasonal adjustment and the Cholesky decomposition of a Toeplitz matrix
Pollock, David Stephen G.
;
Mise, Emi
- In:
Computational economics
59
(
2022
)
3
,
pp. 913-933
Persistent link: https://www.econbiz.de/10013169117
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13
Deep learning for financial engineering
Chen, Muyan
;
Sangaiah, Arun Kumar
;
Chen, Ting-Hsuan
; …
- In:
Computational economics
59
(
2022
)
4
,
pp. 1277-1281
Persistent link: https://www.econbiz.de/10013260254
Saved in:
14
A new bootstrapped hybrid artificial neural network approach for time series forecasting
Eğrioğlu, Erol
;
Fildes, Robert
- In:
Computational economics
59
(
2022
)
4
,
pp. 1355-1383
Persistent link: https://www.econbiz.de/10013260258
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15
Analysis of internet financial risks based on deep learning and BP neural network
Liu, Zixian
;
Du, Guansan
;
Zhou, Shuai
;
Lu, Haifeng
;
Ji, Han
- In:
Computational economics
59
(
2022
)
4
,
pp. 1481-1499
Persistent link: https://www.econbiz.de/10013261996
Saved in:
16
Kelly-based options trading strategies on settlement date via supervised learning algorithms
Wu, Mu-En
;
Syu, Jia-Hao
;
Chen, Chien-Ming
- In:
Computational economics
59
(
2022
)
4
,
pp. 1627-1644
Persistent link: https://www.econbiz.de/10013262110
Saved in:
17
Optimizing financial engineering time indicator using bionics computation algorithm and neural network deep learning
Wang, Zeyu
;
Deng, Yue
- In:
Computational economics
59
(
2022
)
4
,
pp. 1755-1772
Persistent link: https://www.econbiz.de/10013262346
Saved in:
18
A machine learning approach to detection of trade-based manipulations in Borsa Istanbul
Uslu, Nurullah Celal
;
Akal, Fuat
- In:
Computational economics
60
(
2022
)
1
,
pp. 25-45
Persistent link: https://www.econbiz.de/10013262418
Saved in:
19
Communication and learning : the bilateral information transmission in the cobweb model
Guse, Eran
;
Wong, M. C. Sunny
- In:
Computational economics
60
(
2022
)
2
,
pp. 693-723
Persistent link: https://www.econbiz.de/10013380807
Saved in:
20
Averages : there is still something to learn
Curto, José Dias
- In:
Computational economics
60
(
2022
)
2
,
pp. 755-779
Persistent link: https://www.econbiz.de/10013380829
Saved in:
21
Swarm intelligence based hybrid neural network approach for stock price forecasting
Kumar, Gourav
;
Singh, Uday Pratap
;
Jain, Sanjeev
- In:
Computational economics
60
(
2022
)
3
,
pp. 991-1039
Persistent link: https://www.econbiz.de/10013380863
Saved in:
22
Does capacity utilization predict inflation? : a wavelet based evidence from United States
Bahramian, Pejman
;
Saliminezhad, Andisheh
- In:
Computational economics
58
(
2021
)
4
,
pp. 1103-1125
Persistent link: https://www.econbiz.de/10012697888
Saved in:
23
Testing for time-varying properties under misspecified conditional mean and variance
Maki, Daiki
;
Ota, Yasushi
- In:
Computational economics
57
(
2021
)
4
,
pp. 1167-1182
Persistent link: https://www.econbiz.de/10012543270
Saved in:
24
Unemployment rate forecasting : a hybrid approach
Chakraborty, Tanujit
;
Chakraborty, Ashis Kumar
;
Biswas, …
- In:
Computational economics
57
(
2021
)
1
,
pp. 183-201
Persistent link: https://www.econbiz.de/10012486888
Saved in:
25
Should deep learning models be in high demand, or should they simply be a very hot topic? : a comprehensive study for exchange rate forecasting
Yilmaz, Firat Melih
;
Arabaci, Ozer
- In:
Computational economics
57
(
2021
)
1
,
pp. 217-245
Persistent link: https://www.econbiz.de/10012486893
Saved in:
26
A new scalable Bayesian network learning algorithm with applications to economics
Tsagris, Michail
- In:
Computational economics
57
(
2021
)
1
,
pp. 341-367
Persistent link: https://www.econbiz.de/10012486914
Saved in:
27
A new hybrid instance-based learning model for decision-making in the P2P lending market
Babaei, Golnoosh
;
Bamdad, Shahrooz
- In:
Computational economics
57
(
2021
)
1
,
pp. 419-432
Persistent link: https://www.econbiz.de/10012486917
Saved in:
28
Stationarity statistics on rolling windows
Ross, Joseph
- In:
Computational economics
57
(
2021
)
2
,
pp. 655-691
Persistent link: https://www.econbiz.de/10012486950
Saved in:
29
On a bivariate hysteretic AR-GARCH model with conditional asymmetry in correlations
Chen, Cathy W. S.
;
Than-Thi, Hong
;
Asai, Manabu
- In:
Computational economics
58
(
2021
)
2
,
pp. 413-433
Persistent link: https://www.econbiz.de/10012615031
Saved in:
30
Forecasting volatility for an optimal portfolio with stylized facts using copulas
Karmous, Aida
;
Boubaker, Heni
;
Belkacem, Lotfi
- In:
Computational economics
58
(
2021
)
2
,
pp. 461-482
Persistent link: https://www.econbiz.de/10012615046
Saved in:
31
Statistical validation of multi-agent financial models using the H-infinity Kalman Filter
Rigatos, Gerasimos G.
- In:
Computational economics
58
(
2021
)
3
,
pp. 777-798
Persistent link: https://www.econbiz.de/10012651029
Saved in:
32
Estimating non-stationary common factors : implications for risk sharing
Corona, Francisco
;
Poncela, Pilar
;
Ruiz, Esther
- In:
Computational economics
55
(
2020
)
1
,
pp. 37-60
Persistent link: https://www.econbiz.de/10012222591
Saved in:
33
Invertibility and VAR representations of time-varying dynamic stochastic general equilibrium models
Cavicchioli, Maddalena
- In:
Computational economics
55
(
2020
)
1
,
pp. 61-86
Persistent link: https://www.econbiz.de/10012222592
Saved in:
34
Are central bankers inflation nutters? : an MCMC estimator of the long-memory üarameter in a state space model
Andersson, Fredrik N. G.
;
Li, Yushu
- In:
Computational economics
55
(
2020
)
2
,
pp. 529-549
Persistent link: https://www.econbiz.de/10012223649
Saved in:
35
Prediction of unemployment rates with time series and machine learning techniques
Katris, Christos
- In:
Computational economics
55
(
2020
)
2
,
pp. 673-706
Persistent link: https://www.econbiz.de/10012223659
Saved in:
36
Forecasting financial networks
Caraiani, Petre
- In:
Computational economics
55
(
2020
)
3
,
pp. 983-997
Persistent link: https://www.econbiz.de/10012223690
Saved in:
37
Introduction to topics in modelling financial and macroeconomic time series
Jawadi, Fredj
- In:
Computational economics
56
(
2020
)
1
,
pp. 1-3
Persistent link: https://www.econbiz.de/10012272013
Saved in:
38
Intertemporal similarity of economic time series : an application of dynamic time warping
Franses, Philip Hans
;
Wiemann, Thomas
- In:
Computational economics
56
(
2020
)
1
,
pp. 59-75
Persistent link: https://www.econbiz.de/10012272016
Saved in:
39
Multifractal analysis of realized volatilities in Chinese stock market
Liu, Yufang
;
Zhang, Weiguo
;
Fu, Junhui
;
Wu, Xiang
- In:
Computational economics
56
(
2020
)
2
,
pp. 319-336
Persistent link: https://www.econbiz.de/10012272033
Saved in:
40
Nonlinear scaling behavior of visible volatility duration for financial statistical physics dynamics
Zhang, B.
;
Wang, J.
;
Zhang, W.
;
Wang, G. C.
- In:
Computational economics
56
(
2020
)
2
,
pp. 373-389
Persistent link: https://www.econbiz.de/10012272040
Saved in:
41
Optimal filter approximations for latent long memory stochastic volatility
Yap, Grace Lee Ching
- In:
Computational economics
56
(
2020
)
2
,
pp. 547-568
Persistent link: https://www.econbiz.de/10012272047
Saved in:
42
Special issue: modelling financial and macroeconomic time series
Jawadi, Fredj
(
ed.
)
-
2020
Persistent link: https://www.econbiz.de/10012272051
Saved in:
43
Heterogeneous expectations and uncertain inflation target
Marzioni, Stefano
;
Traficante, Guido
- In:
Computational economics
56
(
2020
)
3
,
pp. 601-621
Persistent link: https://www.econbiz.de/10012390414
Saved in:
44
Heuristic switching model and exploration-exploitation algorithm to describe long-run expectations in LtFEs : a comparison
Colasante, Annarita
;
Alfarano, Simone
;
Camacho-Cuena, Eva
- In:
Computational economics
56
(
2020
)
3
,
pp. 623-658
Persistent link: https://www.econbiz.de/10012390418
Saved in:
45
How active is active learning : value function method versus an approximation method
Amman, Hans M.
;
Tucci, Marco Paolo
- In:
Computational economics
56
(
2020
)
3
,
pp. 675-693
Persistent link: https://www.econbiz.de/10012390421
Saved in:
46
Testing for periodic integration with a changing mean
Barrio Castro, Tomás del
;
Camarero Olivas, Mariam
; …
- In:
Computational economics
54
(
2019
)
1
,
pp. 45-75
Persistent link: https://www.econbiz.de/10012134081
Saved in:
47
Fast and adaptive cointegration based model for forecasting high frequency financial time series
Arce, Paola
;
Antognini, Jonathan
;
Kristjanpoller …
- In:
Computational economics
54
(
2019
)
1
,
pp. 99-112
Persistent link: https://www.econbiz.de/10012134087
Saved in:
48
Nowcasting GDP growth for small open economies with a mixed-frequency structural model
Yau, Ruey
;
Hueng, C. James
- In:
Computational economics
54
(
2019
)
1
,
pp. 177-198
Persistent link: https://www.econbiz.de/10012134110
Saved in:
49
Applying independent component analysis and predictive systems for algorithmic trading
Ceffer, Attila
;
Levendovszky, Janos
;
Fogarasi, Norbert
- In:
Computational economics
54
(
2019
)
1
,
pp. 281-303
Persistent link: https://www.econbiz.de/10012134161
Saved in:
50
Agent-based modeling of a non-tâtonnement process for the scarf economy : the role of learning
Chen, Shu-Heng
;
Chie, Bin-Tzong
;
Kao, Ying-Fang
; …
- In:
Computational economics
54
(
2019
)
1
,
pp. 305-341
Persistent link: https://www.econbiz.de/10012134173
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