Mei-Yu Lee

Mei-Yu Lee

Assistant Professor

Posts by Collection

projects

publications

異質廠商，獨佔性競爭與貿易政策 Permalink

Published in 經濟論文叢刊, 2009

Traditional Chinese version

Recommended citation: 吳芝文、李玫郁， 2009，「異質廠商，獨佔性競爭與貿易政策」，經濟論文叢刊，第37卷，第213-234頁。

Extremely Values of Uncertain Payoffs in 2 × 2 Simulated-Based Game: A U-quadratic Distribution Case Permalink

Published in Computer Science and Applications, 2015

Recommended citation: Yao-Hsien Lee and Mei-Yu Lee*, 2015, Extremely Values of Uncertain Payoffs in 2 × 2 Simulated-Based Game: A U-quadratic Distribution Case, Computer Science and Applications, 2(5), 182-199. https://www.researchgate.net/profile/Mei-Yu-Lee/publication/282765959_Extremely_Values_of_Uncertain_Payoffs_in_2_2_Simulated-Based_Game_A_U-quadratic_Distribution_Case_Computer_Science_and_Applications/links/6231d2974ce552783cc02f72/Extremely-Values-of-Uncertain-Payoffs-in-2-2-Simulated-Based-Game-A-U-quadratic-Distribution-Case-Computer-Science-and-Applications.pdf

Time-varying and Scale Effect of Payoff Uncertainty on Nash Equilibrium Payoff in 2 × 2 Simulation-Based Game: A Weibull Distribution Case Permalink

Published in Economic Computation and Economic Cybernetics Studies and Research, 2015

Recommended citation: Che-Yang Lin and Mei-Yu Lee*, 2015, Time-varying and Scale Effect of Payoff Uncertainty on Nash Equilibrium Payoff in 2 × 2 Simulation-Based Game: A Weibull Distribution Case, Economic Computation and Economic Cybernetics Studies and Research, 49(3), 305-322. http://www.ecocyb.ase.ro/nr20153/18%20-%20Che-Yang%20Lin,%20Mei-Yu%20Lee.pdf

國際油價與中油油品價格之大數據特徵分析 Permalink

Published in 臺灣銀行季刊, 2016

Recommended citation: 李玫郁、李堯賢、林哲揚，2016，「國際油價與中油油品價格之大數據特徵分析」，臺灣銀行季刊，第67卷第2期，第53-78頁。 https://www.researchgate.net/profile/Mei-Yu-Lee/publication/309730937_guojiyoujiayuzhongyouyoupinjiagezhidashujutezhengfenxi/links/5820069d08ae40da2cb2597e/guojiyoujiayuzhongyouyoupinjiagezhidashujutezhengfenxi.pdf

以多重彈性倒傳遞類神經模型探討台灣4G概念股股價的變動 Permalink

Published in 會計與財金研究, 2016

Recommended citation: 邱登裕、端木和奕、謝素真、李玫郁*，2016，「以多重彈性倒傳遞類神經模型探討台灣4G概念股股價的變動」，會計與財金研究，第9卷第1期，第51-66頁。 https://tpl.ncl.edu.tw/NclService/pdfdownload?filePath=lV8OirTfsslWcCxIpLbUfqNJzW0J_5fYdoLuYAJ9R81bcZDBoGPPMZwybMA32u0v&imgType=Bn5sH4BGpJw=&key=1wTuqpvjrHe7E2JKTH7xRIvqfE1AAbpOnyrPYD_KB2UeVVU9OyINO4qBZJhLTxWd&xmlId=0006918389

Price competition between shrink-wrap software and cloud service firms under a stochastic model Permalink

Published in International Journal of Computational Economics and Econometrics, 2016

Recommended citation: Kuei-Yuan Cheng, Yao-Hsien Lee and Mei-Yu Lee*, 2016, Price Competition between Shrink-wrap Software and Cloud Service Firms under a Stochastic Model, Problems and Perspectives in Management, 14(2), 272-276. https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/7183/PPM_2016_02cont2_Cheng.pdf

Heteroscedasticity and Precise Estimation Model Approach for Complex Financial Time-Series Data: An Example of Taiwan Stock Index Futures before and during COVID-19 Permalink

Published in Mathematics, 2021

Recommended citation: Chih-Wen Hsiao, Ya-Chuan Chan, Mei-Yu Lee, Hsi-Peng Lu, 2021, Heteroscedasticity and Precise Estimation Model Approach for Complex Financial Time-Series Data: An Example of Taiwan Stock Index Futures before and during COVID-19, Mathematics, 9(21), 2719. https://www.mdpi.com/2227-7390/9/21/2719/pdf

Stock Market behaviors among US, China and Taiwan Permalink

Published in Journal of Accounting, Finance & Management Strategy, 2021

Recommended citation: Ya-Chuan Chan, Yao-Hsin Lee, Mei-Yu Lee*, 2021, Stock Market behaviors among US, China and Taiwan, Journal of Accounting, Finance & Management Strategy, 16(2), 109-136.

talks

teaching

Analysis of Artificial intelligence

Master course, Minghsin University of Science and Technology, DGraduate Institue of Management, 2021

This course provides students with analytical methods to learn artificial intelligence. Artificial intelligence is to make machines simulate human thinking and decision-making process. Therefore, the analysis method of artificial intelligence is to calculate the data by the machine, and then produce the results according to the principle of decision-making, which can be interpreted and decided by business and management. Through this course, you will learn what artificial intelligence analysis method is, how to calculate and how to interpret reports. Finally, you will get a valuable report.

Big Data Analysis

Master course, Minghsin University of Science and Technology, DGraduate Institue of Management, 2021

This course provides students with an understanding of the concept, analysis methods and precise modeling techniques of big tree data analysis. Through the course content, students can understand and use the analytical methods of big data analysis and the first and foremost accurate modeling ability required by big data and artificial intelligence.