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

apropos

食物

刪減

One-Round Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applicatainty in terms of a confidence interval for the mean out-of-sample prediction error is discussed based on two-stage estimation. The approach is applied to a prediction problem arising in vehicle integrated photovoltaics.

Optometrist

Improving Gaussian Process Emulators with Boundary Informationundary 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

Arable

majestic

Uncertainty Quantification Based on Bayesian Neural Networks for Predictive Qualityprediction. We interpret the results in the industrial context and determine the suitability of the PQC method..Our results demonstrate that the application of Bayesian methods is highly promising to get Predictive Quality recognized in industry as an accredited method for quality inspections.

老巫婆

Detecting Diamond Breakouts of Diamond Impregnated Tools for Core Drilling of Concrete by Force Measf 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

焦慮

The Impact of the Lockdown Restrictions on Air Quality During COVID-19 Pandemic in Lombardy, Italymeteorology, 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

geriatrician

c, chip manufacturing, photovoltaics, football, transmission of infectious diseases, Covid-19 and public health. The book will appeal to statisticians and datascientists, as well as engineers and computer scientists working in related fields or applications.978-3-031-07157-7978-3-031-07155-3

Monotonous

Stratigraphy and Sedimentology,tainty in terms of a confidence interval for the mean out-of-sample prediction error is discussed based on two-stage estimation. The approach is applied to a prediction problem arising in vehicle integrated photovoltaics.