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The biographical opening chapter of this book describes the impact that Dennis Lindley has made on the statistical and decision science communities, an impact that is reflected in the many contributions which follow. Friends and colleagues have contributed previously unpublished papers to show their respect and admiration for his influence in a number of areas of research. Throughout his career Dennis Lindley has insisted on thinking things through from first principles and on basing developments on firm, logical foundations. Although his fundamental contributions to Bayesian statistics and decision theory are universally recognised, it is less well known that he arrived at the Bayesian position as a result of seeking to establish a rigorous axiomatic justification for classical statistical procedures. There is no doubt that Dennis Lindley's influence will continue for many years, making this book essential reading for all those interested in Bayesian statistics and decision theory, whether practitioners or researchers.
This book explores the profound impact of Dennis Lindley on statistical and decision science communities through a collection of previously unpublished papers. The volume opens with a biographical chapter detailing Lindley's influence, followed by contributions from friends and colleagues that reflect his foundational approach to research. Lindley's insistence on first principles and logical foundations shaped his work, particularly his fundamental contributions to Bayesian statistics and decision theory, which stemmed from his search for axiomatic justifications for classical statistical procedures. His enduring influence is highlighted as essential reading for practitioners and researchers in these fields.
This collection is presented as a tribute to Dennis Lindley, highlighting his significant and lasting influence on the fields of statistics and decision science. The papers included are intended to showcase the breadth and depth of his impact, as acknowledged by his peers. The book is positioned as essential reading for anyone involved in Bayesian statistics and decision theory, suggesting a readership of academics, researchers, and practitioners seeking to understand foundational principles and advanced applications.
Page Count:
392
Publication Date:
1994-01-01
ISBN-10:
0471943479
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