Sima Siami-Namini
Sima Siami-Namini
Adjunct Research Faculty, Mississippi State University
Verifierad e-postadress på msstate.edu - Startsida
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A Comparison of ARIMA and LSTM in Forecasting Time Series
S Siami-Namini, A Tavakoli, A Siami Namin
IEEE, 2018
1652018
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM
S Siami-Namini, A Siami Namin
arXiv preprint arXiv:1803.06386, 2018
1232018
The performance of LSTM and BiLSTM in forecasting time series
S Siami-Namini, N Tavakoli, AS Namin
2019 IEEE International Conference on Big Data (Big Data), 3285-3292, 2019
412019
Inflation and Income Inequality in Developed and Developing Countries
S Siami-Namini, D Hudson
Journal of Economic Studies; SSRN Electronic Journal 46 (3), 611-632, 2019
292019
Can machine/deep learning classifiers detect zero-day malware with high accuracy?
F Abri, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin
2019 IEEE international conference on big data (Big Data), 3252-3259, 2019
232019
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
S Siami-Namini, N Tavakoli, A Siami Namin
172019
Forecasting economics and financial time series: ARIMA vs
S Siami-Namini, AS Namin
LSTM. arXiv preprint arXiv 180306386, 2018
162018
Granger causality between exchange rate and stock price: A Toda Yamamoto approach
S Siami-Namini
International Journal of Economics and Financial Issues 7 (4), 2017
142017
The Impacts of Sector Growth and Monetary Policy on Income Inequality in Developing Countries
S Siami-Namini, D Hudson
Journal of Economic Studies; Available at SSRN 3059381 46 (3), 591-610, 2019
122019
Volatility Transmission Among Oil Price, Exchange Rate and Agricultural Commodities Prices
S Siami-Namini
Applied Economics and Finance 6 (4), 41-61, 2019
92019
Commodity Price Volatility and U.S. Monetary Policy: Commodity Price Overshooting Revisited
S Siami-Namini, D Hudson, AA Trindade, C Lyford
Agribusiness 35 (2), 200-218, 2019
92019
Granger Causality Between Gross Domestic Product and Economic Sectors in Developing Countries: A Panel Co-integration Approach
S Siami-Namini
International Journal of Economics and Financial Issues 7 (5), 53-58, 2017
72017
An autoencoder‑based deep learning approach for clustering time series data
N Tavakoli, S Siami‑Namini, M Adl Khanghah, F Mirza Soltani, ...
SN Applied Science 2 (937), 2020
62020
Volatility spillover between oil prices, US dollar exchange rates and international agricultural commodities prices
S Siami-Namini, D Hudson
62017
Clustering time series data through autoencoder-based deep learning models
N Tavakoli, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin
arXiv preprint arXiv:2004.07296, 2020
52020
The Short and Long Run Effects of Selected Variables on Tax Revenue-A Case Study
S Siami-Namini, D Muhammad, F Fahimullah
Applied Economics and Finance 5 (5), 23-32, 2018
52018
Continuous authentications using frequent english terms
A Darabseh, S Siami-Namini, A Siami Namin
Applied Artificial Intelligence 32 (1), 13-47, 2018
52018
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM.(2018)
S Siami-Namini, A Siami Namini
arXiv preprint arXiv:1803.06386, 2018
52018
US Monetary Policy and Commodities Price Fluctuations
S Siami-Namini, D Hudson
52016
China's Economy and the Global Financial Crisis
S Siami-Namini
International Journal of Economics and Financial Issues 7 (5), 259-265, 2017
32017
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Artiklar 1–20