Guy Nason

Guy P. Nason
Born (1966-08-28) 28 August 1966 (age 55)
NationalityBritish
Alma materUniversity of Bath
University of Cambridge
Scientific career
FieldsStatistics
InstitutionsUniversity of Bristol
Imperial College London
Doctoral advisorRobin Sibson

Guy Philip Nason (born 28 August 1966)[1] is a British statistician, and Professor of Statistics at Imperial College London.

Nason received his BSc from the University of Bath in 1988, a diploma in Mathematical Statistics from the University of Cambridge in 1989, and a PhD in Statistics from the University of Bath in 1992. He served as a Council member of the Royal Statistical Society (2004–08), and was Vice-President (Academic Affairs) 2016-2020. He is a member of the EPSRC Strategic Advisory Team for Mathematics. He was an EPSRC Advanced Research Fellow during 2000–5 and was awarded the Guy Medal in bronze by the Royal Statistical Society (RSS) in 2001.[2][3] He took over the post as head of mathematics at Bristol from Stephen Wiggins in 2008.

Nason is best known for his work in the area of time series analysis, especially wavelet approaches.[4][5][6] He has served as the Secretary of the RSS Research Section (2002–04), associate editor for the Journal of the RSS, Series B, Computational Statistics and Statistica Sinica and is currently an associate editor for Biometrika.[7]

References

  1. ^ NASON, Prof. Guy Philip, Who's Who 2014, A & C Black, 2014; online edn, Oxford University Press, 2014
  2. ^ Abstracts and speaker biographies, Graybill Conference, June 11–13, 2006, Colorado State University. Accessed August 15, 2011
  3. ^ Previous award recipients Archived 17 March 2012 at the Wayback Machine, Royal Statistical Society . Accessed August 15, 2011
  4. ^ G. P. Nason & R. von Sachs "Wavelets in Time Series Analysis" Philosophical Transactions of the Royal Society of London A, 1999, 357, 2511–2526
  5. ^ G.P. Nason, R von Sachs & G Kroisandt "Wavelet 프로세스와 진화론적 파장 스펙트럼의 적응적 추정" 영국 왕립통계학회지, 시리즈 B, 2000, 62, 271–292
  6. ^ G. P. Nason Wavelet 방법(R 사용), Springer-Verlag, ISBN0-387-75960-3
  7. ^ 비오메트리카 편집국 2011년 9월 5일 액세스

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