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Dieses Lehrbuch liefert einen verstandnisorientierten Einstieg in die asymptotische Stochastik. Es ist vom Niveau her zu Beginn eines Mathematik-Masterstudiums angesiedelt und …
Dieses Lehrbuch befasst sich leicht verstandlich mit der Theorie der Kalman-Filterung. Die Autoren geben damit eine Einfuhrung in Kalman-Filter und deren Anwendung fur eingebettete …
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book …
This book explains the basic theory of Hilbert C*-module in detail, covering a wide range of applications from generalized index to module framework. At the center of the book, the …
The book is the first systematic and comprehensive treatise of stochastic models and computational tools that have emerged in rock-physics in the last 20 years. The field of …
This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm implementation. The purpose of this …
This revised book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments, and statistical quality control. It is …
Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with …