Selected Works of Peter J. Bickel

1. Front Matter

   Pages i-xliii

   PDF

2. Rank-Based Nonparametrics

   • Willem R. van Zwet

   Pages 1-49

3. Robust Statistics

   • Peter Bühlmann

   Pages 51-98

4. Asymptotic Theory

   • Qi-Man Shao

   Pages 99-185

5. Function Estimation

   • Hans-Georg Müller

   Pages 187-242

6. Adaptive Estimation

   • Jon A. Wellner

   Pages 243-332

7. Boostrap Resampling

   • Peter Hall

   Pages 333-417

8. High-Dimensional Statistics

   • Jianqing Fan

   Pages 419-505

9. Miscellaneous

   • Ya’acov Ritov

   Pages 507-568

10. ERRATA

    • Jianqing Fan, Ya’acov Ritov, C. F. Jeff Wu

    Pages E1-E50

This volume presents selections of Peter J. Bickel’s major papers, along with comments on their novelty and impact on the subsequent development of statistics as a discipline. Each of the eight parts concerns a particular area of research and provides new commentary by experts in the area. The parts range from Rank-Based Nonparametrics to Function Estimation and Bootstrap Resampling. Peter’s amazing career encompasses the majority of statistical developments in the last half-century or about about half of the entire history of the systematic development of statistics. This volume shares insights on these exciting statistical developments with future generations of statisticians. The compilation of supporting material about Peter’s life and work help readers understand the environment under which his research was conducted. The material will also inspire readers in their own research-based pursuits. This volume includes new photos of Peter Bickel, his biography, publication list, and a list of his students. These give the reader a more complete picture of Peter Bickel as a teacher, a friend, a colleague, and a family man.

• Asymptotics
• High-Dimensional Statistics
• Nonparametrics
• Peter J. Bickel
• Selected Works

The contributions of Bickel to statistical science are exemplary and unparalleled...One of the most pleasant features of the volume is that it contains commentaries written by the experts, who provide nice summaries of the respective topics...I enjoyed re-reading some of the papers on high-dimensional statistics...The volume is priceless, and contains affluence information.
Technometrics 56:1 2014

• Department of Operations Research and Financial Engineering, Princeton University, Princeton, USA

  Jianqing Fan

• Department of Statistics, Hebrew University of Jerusalem, Jerusalem, Israel

  Ya’acov Ritov

• School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, USA

  C. F. Jeff Wu

Since obtaining his Ph.D. degree at the age of 22, Peter Bickel’s fifty years of distinguished work spans the revolution of scientific computing and data collection, from vacuum tubes for processing and small experimental data to today’s supercomputing and automated massive data scanning. The evolution of scientific computing and data collection has a profound impact on statistical thinking, methodological developments, and theoretical studies, thus creating evolving frontiers of statistics.

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