Deep learning and the use of deep neural networks are now established as a key tool for practical machine learning. Neural networks have an equivalence with many existing statistical and machine learning approaches and I would like to explore one of
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to mark
Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and manufacturing settings. Compris
an overview of the historical development of statistical network modeling and introduce a number of examples that have been studied in the network literature
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The study of statistical methods for spatial data analysis presents challenges that are fairly unique within the statistical sciences. Like few other areas, spatial statistics draws on and brings together philosophies, methodologies, and techniques
