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Julian Keilson (November 19, 1924 – March 8, 1999 in Rochester, New York) was an American mathematician.[1][2][3] He was known for his work in probability theory. His work in survival analysis is relevant to many fields, e.g., medical research, parts supply, asset depreciation, rental pricing, etc.[4]

He got his B.Sc. in physics from Brooklyn College, and M.Sc. and Ph.D. from Harvard University. His Ph.D. thesis advisor was the Nobel Prize–winning professor of Physics, Julian Schwinger. Next he worked at MIT Lincoln Laboratories and GTE Laboratories before joining the faculty at University of Rochester (1966–96) where he started the statistics department. He also taught at MIT Sloan School of Management (1986–92).


  • Green's functions in probability theory (1965)
  • Markov chain models -- rarity and exponentiality


  1. ^ obituary from MIT
  2. ^ obituary from
  3. ^ Ryszard Syski, obituary Archived 2011-07-18 at the Wayback Machine from Journal of Applied Mathematics and Stochastic Analysis Volume 12 (1999), Issue 2, Pages 101-103
  4. ^ Keilson, J. and Sumita, U. (1983), Extrapolation of the mean lifetime of a large population from its preliminary survival history. Naval Research Logistics Quarterly, 30: 509–535. doi:10.1002/nav.3800300316