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[1905.02637] Distributed Optimization Based on Gradient-tracking ...
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Author Page for Steve G. Sutton :: SSRN
Surrogate data, sometimes known as analogous data, usually refers to time series data that is produced using well-defined (linear) models like ARMA processes that reproduce various statistical properties like the autocorrelation structure of a measured data set. The resulting surrogate data can then … See more Surrogate data is used in environmental and laboratory settings, when study data from one source is used in estimation of characteristics of another source. For example, it has been used to model population trends in … See more • Schreiber, T.; Schmitz, A. (1996). "Improved Surrogate Data for Nonlinearity Tests". Physical Review Letters. 77 (4): 635–638. See more One method of surrogate data is to find a source with similar conditions or parameters, and use those data in modeling. Another … See more • Bootstrapping (statistics) • Jackknife resampling See more WebApr 12, 2024 · The raw metrics data make more sense if graphed and statistically analysed, more still if explained with relevant contextual information leading to knowledge and actionable insight. ... While metrics can suffer issues such as gaming and surrogation, a well-designed and comprehensive measurement system can be immensely valuable - … city center orašje radno vrijeme