In modern scanning electron microscopy, sample surface preparation is of key importance. This book presents the procedures for sample surface preparation, thereby facilitating unprecedented capabilities with advanced scanning electron microscopes.
In modern scanning electron microscopy, sample surface preparation is of key importance. This book presents the procedures for sample surface preparat...
Bayesian Approaches to Shrinkage and Sparse Estimation introduces the reader to the world of Bayesian model determination by surveying modern shrinkage and variable selection algorithms and methodologies. Bayesian inference is a natural probabilistic framework for quantifying uncertainty and learning about model parameters, and this feature is particularly important for inference in modern models of high dimensions and increased complexity. The authors begin with a linear regression setting in order to introduce various classes of priors that lead to shrinkage/sparse estimators of...
Bayesian Approaches to Shrinkage and Sparse Estimation introduces the reader to the world of Bayesian model determination by surveying modern shrinkag...
