James Fu
Photo of James Fu

Professor Emeritus

Office: 334 Machray Hall

Telephone: 204-474-6272

Research Interests

large sample estimation, distribution theory of runs and patterns, applications of probability, system reliability, computer-intensive statistical methods

Recent Publications

  • Fu, James C., Johnson, Brad C. and Chang, Yung-Ming (2012). Approximating the extreme right-hand tail probability for the distribution of the number of patterns in a sequence of multi-state trials. Journal of Statistical Planning and Inference 142 (2), 473 - 480.
  • Fu, J.C., Wu, T.L and Lou, W.Y (2011). Continuous, discrete and conditional scan statistics. Journal of Applied Probability.
  • Fu, J.C. and Johnson, B.C. (2010). Approximate probabilities for runs and patterns in iid and Markov dependent multi-state trials. Advances in Applied Probability 41, 292–308.
  • Fu, J.C. and Wu, T.L. (2010). Linear and non-linear boundary crossing probabilities for Brownian motion and related processes. Journal of Applied Probability 47, 1058–1071.
  • Fu, James C. and Lou, Wendy W.Y (2008). Distribution of the length of the longest common subsequence of two multi-state sequences. Journal of Statistical Planning and Inference 138, 3605–3615.

→ See more publications

Biography

On June 1, 2010, Dr. James C. Fu was awarded the Professor Emeritus designation by the University of Manitoba. Dr. Fu joined the Department of Statistics in 1974 and has made significant contributions to the disciplines of statistics and probability over his career. Dr. Fu has over seventy papers in scientific journals. He is best known for the development, with Markos Koutras, of the Finite Markov Chain Imbedding technique for determining probability distributions of runs and patterns. This technique has wide applicability. For example, it has been used in bioinformatics, for analyzing DNA sequences, and in reliability theory, for determining probabilities of system failures. Another of Dr. Fu's contributions is the use of the large deviation approach for studying asymptotic distributions and rates of convergence of consistent estimators. Dr. Fu has supervised a number of graduate students. His work is highly cited; one of his papers received a Citation Classic Award from the Institute for Scientific Information. Dr. Fu has served as editor or associate editor for a number of international journals and as President of the International Chinese Statistical Association. He is also a Fellow of the Institute of Mathematical Statistics. On his retirement, an international symposium, Fu-Fest 2009, was held at the University of Manitoba in his honour.

Graduations

Congratulations to our February, 2012 graduate: Hsing-Ming Chang (Ph.D.).

Important Date

February 20 – February 24: Mid-Term Break (No classes)

Upcoming Exam

STAT 1000 Midterm 1
Saturday, February 11 at 9:30 a.m.

Upcoming Seminars

Chris Bowman, Mitacs: “Introduction to Mitacs Programmes
Thursday, February 16 at 2:45 p.m.
316 Machray Hall

Christian Genest, Department of Mathematics and Statistics, McGill University
Wednesday, February 29 at 7:00 p.m.
172 St. John's

Johanna Nešlehová, Department of Mathematics and Statistics, McGill University
Thursday, March 1 at 2:45 p.m.
316 Machray Hall

Christian Genest, Department of Mathematics and Statistics, McGill University: “Abraham De Moivre: Genius in Exile
Friday, March 2 at 2:45 p.m.

@StatsUMan

Feb. 2 is Groundhog Day. Read about the results: http://t.co/YOuyu6sA but how accurate are the predictions? http://t.co/cHvSXfuD

Moneyball: A movie about putting together a baseball team using evidence based statistics. (How Statistics changes Baseball!)