Titlebook: Artificial Intelligence, Big Data and Data Science in Statistics; Challenges and Solut Ansgar Steland,Kwok-Leung Tsui Book 2022 The Editor(

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978-3-031-07157-7The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl

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Stratigraphy and Sedimentology,ed computing resources and for green machine learning. This especially applies when equipping mobile devices (sensors) with weak artificial intelligence. Results are discussed about supervised learning with such networks and regression methods in terms of consistency and bounds for the generalizatio

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https://doi.org/10.1007/b109876opment of a “hit” in music streaming data, with a rapid increase of the number of streams, to a peak, and a slow decay. With this application in mind, the method is scale invariant in the time domain as well as for the values of the time series (e.g., number of streams). Moreover, it is suitable als

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The Dating of Akortiri Aetokremnos,l piecewise sequential procedure is developed for estimating the mean of a normal population having an unknown variance. With the help of such fine-tuning, asymptotic unbiasedness of the terminal sample size can be achieved along with the added operational efficiency as a result of utilizing the . o

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Faunal Extinction in an Island Societyut and output spaces. In particular, neither moment conditions on the conditional distribution of .  given . = . nor the boundedness of the output space is needed. We obtain results on the existence and boundedness of the influence function and show qualitative robustness of the kernel-based estimat

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