Ergebnisse für: High-dimensional Methods
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Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical mo...
In this book, a novel high-dimensional linear and nonlinear regression model is introduced to address, in part, the challenges of evaluating the stability and confidence of large-scale models' interpretability. The book begins by reviewing foundational concepts in regression analysis, and discu...
Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classica...
Classical extreme value theory is the only mathematically justified framework for extrapolating into unobserved tail regions, but its standard tools were not designed for the high-dimensional, nonstationary, and causally interconnected systems that define modern risk. This book develops the necessar...
Efficient industrial supply chain planning needs accurate forecasts. The number of necessary forecasts grows with the complexity of the supply network and the number of considered products.
Based on the example of an automotive supply chain, this work demonstrates how to generate relevant forecasts....
Numerical Solution of High-Dimensional Fokker-Planck Equations with Discontinuous Garlekin Methods...
This work addresses the analysis of a sequential chain of processing steps, which is particularly important for the manufacture of robust product components. In each processing step, the material properties may have changed and distributions of related characteristics, for example, strains, may beco...
In this monograph, we study the problem of high-dimensional indexing and systematically introduce two efficient index structures: one for range queries and the other for similarity queries. Extensive experiments and comparison studies are conducted to demonstrate the superiority of the proposed inde...
In this monograph, we study the problem of high-dimensional indexing and systematically introduce two efficient index structures: one for range queries and the other for similarity queries. Extensive experiments and comparison studies are conducted to demonstrate the superiority of the proposed inde...