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Nicholas Polson

British statistician (born 1963) From Wikipedia, the free encyclopedia

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Nicholas Polson (born 7 May 1963) is a British statistician who is a professor of econometrics and statistics at the University of Chicago Booth School of Business. His works are primarily in Bayesian statistics, Markov chain Monte Carlo and Sequential Monte Carlo, (aka Particle filter). He has also worked more recently on Riemann hypothesis. Polson was educated at Worcester College, Oxford University and the University of Nottingham where his PhD supervisor was Adrian Smith.

Polson is the co-author (with James Scott) of the book AIQ: How People and Machines Are Smarter Together (2018), about the key ideas that played a role in the historical development of artificial intelligence.

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Selected publications

  • Eraker, B., M. Johannes and N.G. Polson, "The Impact of Jumps in Volatility in Returns," (2003) Journal of Finance, 58, 3, 1269–1300.
  • Carlin, B.P., N.G. Polson and D.S. Stoffer, "A Monte Carlo Approach to Non-Normal and Non-Linear State Space Modelling" (1992) Journal of the American Statistical Association, 87, 493–500.

References


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