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  1. Matthew Stephens is a professor of statistics and human genetics, and the chair of the statistics department at the University of Chicago. His research focuses on developing novel statistical methods for complex data sets and applications of Bayesian hierarchical models.

  2. The Stephens Lab is a research group in the department of Human Genetics at the University of Chicago, led by Matthew Stephens. The lab works on a wide variety of problems at the interface of statistics and genetics, using novel statistical methods and computational tools.

  3. Matthew Stephens (born 4 January 1970) is a British former professional road racing cyclist and Cycling presenter, who rode as a professional between 1998 and 2011. [1] Biography. As a junior rider, Stephens won the Junior Tour of Wales in both 1987 and 1988, one of only two riders to win the race twice.

    • Sigma Sports
    • 6 ft 0 in (1.83 m)
    • Matthew Stephens
    • 4 January 1970 (age 53), Edgware, London, England
  4. Matthew Stephens FRS (born 1970) is a Bayesian statistician and professor in the departments of human genetics and statistics at the University of Chicago. He is known for the Li and Stephens model as an efficient coalescent.

    • Bayesian Methods for Mixtures of Normal Distributions
    • Brian D. Ripley
  5. May 10, 2023 · May 10, 2023. Our Chair, Matthew Stephens , Ralph W. Gerard Professor, Departments of Statistics and Human Genetics, and member of the Committee on Computational and Applied Mathematics has been elected as a Fellow of the Royal Society! The official notice is below.

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  7. 2003. A new statistical method for haplotype reconstruction from population data. M Stephens, NJ Smith, P Donnelly. The American Journal of Human Genetics 68 (4), 978-989. , 2001. 8581. 2001. A second generation human haplotype map of over 3.1 million SNPs. IHM Consortium.

  8. stephenslab.uchicago.edu › publicationsStephens Lab

    Matthew Stephens is a professor of statistics and biostatistics at the University of Chicago. His publications and software include methods for fine-mapping, differential expression, empirical Bayes, and more.

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