Works matching IS 09277099 AND DT 2023 AND VI 62 AND IP 4
Results: 20
Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks.
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- Computational Economics, 2023, v. 62, n. 4, p. 1919, doi. 10.1007/s10614-022-10325-8
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- Article
An Incentive-Compatible and Computationally Efficient Fog Bargaining Mechanism.
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- Computational Economics, 2023, v. 62, n. 4, p. 1883, doi. 10.1007/s10614-022-10324-9
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An Alternative Bootstrap for Proxy Vector Autoregressions.
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- Computational Economics, 2023, v. 62, n. 4, p. 1857, doi. 10.1007/s10614-022-10323-w
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The Convergence Analysis of the Numerical Calculation to Price the Time-Fractional Black–Scholes Model.
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- Computational Economics, 2023, v. 62, n. 4, p. 1845, doi. 10.1007/s10614-022-10322-x
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A Hybrid ARFIMA Wavelet Artificial Neural Network Model for DJIA Index Forecasting.
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- Computational Economics, 2023, v. 62, n. 4, p. 1801, doi. 10.1007/s10614-022-10320-z
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- Article
Profitability of Ichimoku-Based Trading Rule in Vietnam Stock Market in the Context of the COVID-19 Outbreak.
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- Computational Economics, 2023, v. 62, n. 4, p. 1781, doi. 10.1007/s10614-022-10319-6
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Working Together: Optimal Control of Wolf Management Across Multiple States.
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- Computational Economics, 2023, v. 62, n. 4, p. 1751, doi. 10.1007/s10614-022-10317-8
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Research on the Effects of Liquidation Strategies in the Multi-asset Artificial Market.
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- Computational Economics, 2023, v. 62, n. 4, p. 1721, doi. 10.1007/s10614-022-10316-9
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- Article
A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels.
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- Computational Economics, 2023, v. 62, n. 4, p. 1669, doi. 10.1007/s10614-022-10315-w
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Performance of Different Machine Learning Algorithms in Detecting Financial Fraud.
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- Computational Economics, 2023, v. 62, n. 4, p. 1631, doi. 10.1007/s10614-022-10314-x
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Estimation of Rank-Ordered Regret Minimization Models.
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- Computational Economics, 2023, v. 62, n. 4, p. 1611, doi. 10.1007/s10614-022-10313-y
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Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth.
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- Computational Economics, 2023, v. 62, n. 4, p. 1567, doi. 10.1007/s10614-022-10312-z
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A Novel Prediction Model: ELM-ABC for Annual GDP in the Case of SCO Countries.
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- Computational Economics, 2023, v. 62, n. 4, p. 1545, doi. 10.1007/s10614-022-10311-0
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- Article
Price Prediction of Cryptocurrency Using a Multi-Layer Gated Recurrent Unit Network with Multi Features.
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- Computational Economics, 2023, v. 62, n. 4, p. 1525, doi. 10.1007/s10614-022-10310-1
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Identifying Systemically Important Banks Based on an Improved DebtRank Model.
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- Computational Economics, 2023, v. 62, n. 4, p. 1505, doi. 10.1007/s10614-022-10309-8
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A Comparison of Different Rules on Loans Evaluation in Peer-to-Peer Lending by Gradient Boosting Models Under Moving Windows with Two Timestamps.
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- Computational Economics, 2023, v. 62, n. 4, p. 1481, doi. 10.1007/s10614-022-10308-9
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On the Optimal Size and Composition of Customs Unions: An Evolutionary Approach.
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- Computational Economics, 2023, v. 62, n. 4, p. 1457, doi. 10.1007/s10614-022-10307-w
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- Article
Calibration of Storage Model by Multi-Stage Statistical and Machine Learning Methods.
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- Computational Economics, 2023, v. 62, n. 4, p. 1437, doi. 10.1007/s10614-022-10304-z
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Using Quadratic Interpolated Beetle Antennae Search for Higher Dimensional Portfolio Selection Under Cardinality Constraints.
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- Computational Economics, 2023, v. 62, n. 4, p. 1413, doi. 10.1007/s10614-022-10303-0
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Do Multi-Market Institutions and Renewable Energy Matter for Sustainable Development: A Panel Data Investigation.
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- Computational Economics, 2023, v. 62, n. 4, p. 1393, doi. 10.1007/s10614-022-10302-1
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