Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...
Artificial intelligence (AI) technologies are currently revolutionizing industries and enabling automation on a scale we've never seen before. Of course, none of this is possible without data. These ...
This paper proposes a very tractable approach to modeling changes in regime. The parameters of an autoregression are viewed as the outcome of a discrete-state Markov process. For example, the mean ...
This course is available on the MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Financial Mathematics, MSc in Health Data Science, MSc in Marketing, MSc in Mathematics and ...
Business forecasting is essential for the survival for companies of all sizes. The building block used by forecasters is historical data or the past performance of the business to predict future ...
Bulletin of the American Meteorological Society, Vol. 91, No. 11 (November 2010), pp. 1485-1492 (8 pages) Abstract Annual global surface temperature and global land surface temperature trends are ...
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