Richard Lewis Tweedie played a significant role throughout his professional career in mentoring young colleagues at work and through professional society activities. With funds donated by his friends and family, IMS created the Tweedie New Researcher Award.



To fund travel to present the “Tweedie New Researcher Invited Lecture” at the IMS New Researchers Conference.


A new researcher is one who received their doctoral degree in one of the FIVE calendar years preceding the year of nomination, or in the year of nomination, meaning, for the 2019 award with nomination deadline December 1, 2018, any of the years 2013–2018. Nominees should be members of the IMS at time of nomination.


Up to U.S. $2000 per award, to be reimbursed against receipts.

Nomination Process

1. Fill out the nomination form:

2. The following items should be sent as ONE PDF via email to Include in the following subject: TWEEDIE NOMINATION: <Last name of nominee>.

  • Extended abstract.
  • Recent CV (not older than 2 years).
  • Two letters of recommendation.

If electronic submission is not possible, please send six (6) collated copies to:

Tweedie Award Nomination
Institute of Mathematical Statistics
3163 Somerset Dr
Shaker Heights OH 44122


All nominations must be received by December 1.

Additional Information

Nominations will be reviewed by the IMS Committee on Travel Awards. Nominators and the recipient will be notified in early March. Only one award may be made.

About Richard Lewis Tweedie

There have been several obituaries written about Richard’s life and work. The following is condensed from his friend and colleague William T M Dunsmuir’s obituary:

Richard Tweedie’s contribution to the fields of applied probability modeling and statistical science was outstanding. Richard was an international scholar, working successfully in the private sector, as well as an outstanding university administrator. Although for much of his career Richard managed a heavy administrative load, he maintained an extraordinary research output throughout. He contributed fundamental results in the theory of Markov Chains on general state spaces. A major focus of this research was development of stability theory for such processes that could be readily applied in modeling a range of complex phenomena arising in diverse fields such as queuing theory, systems theory, statistical modeling including time series and decision theory. A particular achievement, of which Richard was justifiably proud, was publication of his book with Sean Meyn entitled Markov Chains and Stochastic Stability (Springer-Verlag, 1993), which was given the 1994 Operations Research Society of America’s award for the best research publication in Applied Probability.

From about 1994 onwards Richard’s developing interests in statistical methods in the epidemiology of the health effects of exposure to environmental and occupational pollutants led to research in Bayesian modeling for meta-analysis and publication bias. This also stimulated his interest in the question of convergence rates for MCMC sampling schemes, a major focus of his most recent research and publications.

Richard is known by many as a brilliant theoretician. However throughout his career he also worked with numerous collaborators on a range of interesting and challenging practical problems. He was a wonderful consultant and communicator with a knack of explaining complicated statistical ideas to practical people. His consulting and collaborative work led to a substantial number of publications in a diverse range of topics and journals.

He was devoted to the statistical profession and, no matter how busy he was, he found time to involve himself seriously in the organization, promotion and scholarship of professional societies. He served as Editor of the Annals of Applied Probability and of Statistical Science and was an Associate Editor for a number of other leading journals.

A great conversationalist and an outstanding humor and quick wit made being in Richard’s company both memorable and stimulating. He is missed by friends all over the world.