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It is a longstanding unsolved problem to characterize the optimal feedbacks for general SLQs with random coefficients... Read More >>
We develop a theory of average sizes of kernels of generic matrices with support constraints defined in terms of... Read More >>
The objective of the present study is to develop an approach for a large class of deterministic scatterer configurations,... Read More >>
This book collects selected contributions of the “Optimization and Decision Science - ODS2023” international conference... Read More >>
Now in its second edition, this book provides a comprehensive overview of categorical and nonparametric statistics,... Read More >>
This collection of four short courses looks at group representations, graph spectra, statistical optimality, and... Read More >>
This book introduces basic concepts, principle, and methods of medical statistics systematically and practically,... Read More >>
Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical... Read More >>
Programming exercises in Python are also included to show how math behaves in action.Mathematical Thinking is an... Read More >>
This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond... Read More >>
This gives a comprehensive introduction to the (standard) statistical analysis based on the theory of martingales... Read More >>
