Forecasting the Semiconductor Industry Cycles by Bayesian Model Averaging
碩士 === 國立中正大學 === 國際經濟研究所 === 101 === This paper aims to use the Bayesian Model Averaging (BMA) to identify the main cause of the global semiconductor industry cycle from a list of 75 U.S. macro and industry-level variables. By using the data from January 1997 to October 2012, we compare the out-of-...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/97470470690691150481 |