Data from an experiment may result in a graph indicating exponential growth. This implies the formula of this growth is \(y = k{x^n}\), where \(k\) and \(n\) are constants. Using logarithms, we can ...
The Annals of Applied Probability, Vol. 29, No. 5 (October 2019), pp. 3201-3229 (29 pages) We provide a general bound on theWasserstein distance between two arbitrary distributions of sequences of ...
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