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"One of the presentations was by Ole Peters, from the Department of Mathematics at the Imperial College of London. His presentation compared time series analysis with ensemble analysis. Time series analysis takes one realization of a process and runs it over a very long time period and then looks at the distribution over the course of that run, whereas ensemble analysis creates many copies of the process and runs these over a shorter period, and then looks at the distribution of those results. Time series analysis is what you see over many years in one universe, ensemble analysis is what you see when you take many universes and integrate across them to look at the distributional properties.
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In contrast, this post presents an unconventional indicator of global economic activity that shows no sign of truly global recession yet. This indicator is the seasonally adjusted atmospheric carbon dioxide concentration at Mauna Loa, Hawaii. Admittedly, the rate of carbon dioxide emission varies between different industries, and atmospheric carbon dioxide concentration is affected by natural variables such as sea surface temperature, making it a noisy indicator of economic activity
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