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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Alan H. Simmons,Rolfe D. Mandelundary information/constraints. The proposed boundary modified GP (BMGP) emulator, which employs a nonstationary GP prior with specific forms for the mean and variance functions chosen so that the GP prior satisfies given boundary constraints, is shown to outperform the standard GP emulator based on

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Faunal Heritage of Rajasthan, Indiaf differences between successive rotations. Based on the detected rotation periods, 147 features for classification of minutes with and without diamond breakout are created. Some of these features are based on the differences between successive rotations and some on p-values for testing the independ

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https://doi.org/10.1007/978-3-476-03273-7meteorology, seasonality, trend, and lockdown on the NO. concentrations at each monitoring site. We also propose using the LASSO algorithm to select the set of relevant covariates to model the concentrations and then estimate the effect of lockdown restrictions with a maximum likelihood post-LASSO e

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Scale Invariant and Robust Pattern Identification in Univariate Time Series, with Application to Groopment 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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Fine-Tuned Parallel Piecewise Sequential Confidence Interval and Point Estimation Strategies for thel 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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