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Preface

Computational statistics is a core area of modern statistical science and its connections to data science represent an ever‐growing area of study. One of its important features is that the underlying technology changes quite rapidly, riding on the back of advances in computer hardware and statistical software. In this compendium we present a series of expositions that explore the intermediate and advanced concepts, theories, techniques, and practices that act to expand this rapidly evolving field. We hope that scholars and investigators will use the presentations to inform themselves on how modern computational and statistical technologies are applied, and also to build springboards that can develop their further research. Readers will require knowledge of fundamental statistical methods and, depending on the topic of interest they peruse, any advanced statistical aspects necessary to understand and conduct the technical computing procedures.

The presentation begins with a thoughtful introduction on how we should view Computational Statistics & Data Science in the 21st Century (Holbrook, et al.), followed by a careful tour of contemporary Statistical Software (Schissler, et al.). Topics that follow address a variety of issues, collected into broad topic areas such as Simulation‐based Methods, Statistical Learning, Quantitative Visualization, High‐performance Computing, High‐dimensional Data Analysis, and Numerical Approximations & Optimization.

Internet access to all of the articles presented here is available via the online collection Wiley StatsRef: Statistics Reference Online (Davidian, et al., 2014–2021); see https://onlinelibrary.wiley.com/doi/book/10.1002/9781118445112.

From Deep Learning (Li, et al.) to Asynchronous Parallel Computing (Yan), this collection provides a glimpse into how computational statistics may progress in this age of big data and transdisciplinary data science. It is our fervent hope that readers will benefit from it.

We wish to thank the fine efforts of the Wiley editorial staff, including Kimberly Monroe‐Hill, Paul Sayer, Michael New, Vignesh Lakshmikanthan, Aruna Pragasam, Viktoria Hartl‐Vida, Alison Oliver, and Layla Harden in helping bring this project to fruition.

Tucson, ArizonaSan Diego, California Tucson, ArizonaDavis, California

Walter W. Piegorsch Richard A. Levine Hao Helen Zhang Thomas C. M. Lee

Reference

1 Davidian, M., Kenett, R.S., Longford, N.T., Molenberghs, G., Piegorsch, W.W., and Ruggeri, F., eds. (2014–2021). Wiley StatsRef: Statistics Reference Online. Chichester: John Wiley & Sons. doi:10.1002/9781118445112.