Artificial Intelligence, Big Data and Data Science in Statistics
Editor
- Ansgar Steland(RWTH Aachen University, Institute of Statistics and AI Center)Kwok-Leung Tsui(Virginia Polytechnic Institute and State University, Grado Department of Industrial and Systems Engineering)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-07155-3
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Book Chapters
The following chapters of this book are listed in IDEAS- Ansgar Steland & Bart E. Pieters, 2022. "One-Round Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 3-24, Springer.
- Nermina Mumic & Oliver Leodolter & Alexander Schwaiger & Peter Filzmoser, 2022. "Scale Invariant and Robust Pattern Identification in Univariate Time Series, with Application to Growth Trend Detection in Music Streaming Data," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 25-50, Springer.
- Nitis Mukhopadhyay & Chen Zhang, 2022. "Fine-Tuned Parallel Piecewise Sequential Confidence Interval and Point Estimation Strategies for the Mean of a Normal Population: Big Data Context," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 51-84, Springer.
- Anna Malinovskaya & Philipp Otto & Torben Peters, 2022. "Statistical Learning for Change Point and Anomaly Detection in Graphs," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 85-109, Springer.
- Patrick Gensler & Andreas Christmann, 2022. "On the Robustness of Kernel-Based Pairwise Learning," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 111-153, Springer.
- Sonja Kuhnt & Arkadius Kalka, 2022. "Global Sensitivity Analysis for the Interpretation of Machine Learning Algorithms," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 155-169, Springer.
- Zhaohui Li & Matthias Hwai Yong Tan, 2022. "Improving Gaussian Process Emulators with Boundary Information," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 171-192, Springer.
- Lishuai Li & Kwok-Leung Tsui & Yang Zhao, 2022. "An Overview and General Framework for Spatiotemporal Modeling and Applications in Transportation and Public Health," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 195-226, Springer.
- Michael Baron & Emmanuel Yashchin & Asya Takken, 2022. "Introduction to Wafer Tomography: Likelihood-Based Prediction of Integrated-Circuit Yield," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 227-252, Springer.
- Simon Cramer & Meike Huber & Robert H. Schmitt, 2022. "Uncertainty Quantification Based on Bayesian Neural Networks for Predictive Quality," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 253-268, Springer.
- Jin-Zhen Kong & Dong Wang, 2022. "Two Statistical Degradation Models of Batteries Under Different Operating Conditions," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 269-282, Springer.
- Christine H. Müller & Hendrik Dohme & Dennis Malcherczyk & Dirk Biermann & Wolfgang Tillmann, 2022. "Detecting Diamond Breakouts of Diamond Impregnated Tools for Core Drilling of Concrete by Force Measurements," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 283-300, Springer.
- Leo N. Geppert & Katja Ickstadt & Fabian Karl & Jonas Münch & Michael Steinbrecher, 2022. "Visualising Complex Data Within a Data Science Loop: A Spatio-Temporal Example from Football," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 301-319, Springer.
- Evgenii Sovetkin & Bart E. Pieters, 2022. "Application of the Singular Spectrum Analysis on Electroluminescence Images of Thin-Film Photovoltaic Modules," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 321-342, Springer.
- Paolo Maranzano & Alessandro Fassó, 2022. "The Impact of the Lockdown Restrictions on Air Quality During COVID-19 Pandemic in Lombardy, Italy," Springer Books, in: Ansgar Steland & Kwok-Leung Tsui (ed.), Artificial Intelligence, Big Data and Data Science in Statistics, pages 343-374, Springer.
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