|Nan M. Laird|
|Institutions||Harvard School of Public Health|
|Alma mater||Harvard University|
|Doctoral advisor||Arthur P. Dempster|
|Known for||Expectation-maximization algorithm|
|Notable awards||Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics|
Nan M. Laird is a professor in Biostatistics at Harvard School of Public Health. She served as Chair of the Department from 1990 to 1999. She was the Henry Pickering Walcott Professor of Biostatistics from 1991 to 1999. Laird is a Fellow of the American Statistical Association, as well as the Institute of Mathematical Statistics. She is a member of the International Statistical Institute.
Laird is well known for many seminal papers in biostatistics applications and methods, including the Expectation-maximization algorithm. She is a highly cited author according to the ISI Web of Knowledge.
Her honors include the Purdue University Myra Samuels Lecturer award (2004), the Janet Norwood (2003) and F.N. David Award (2001) from the American Statistical Association, and several other fellowships.
- A. P. Dempster, N. M. Laird and D. B. Rubin. (1977). "Maximum Likelihood from Incomplete Data via the EM Algorithm," Journal of the Royal Statistical Society, B, vol. 39, no. 1, pp. 1-38. (The authors collected a variety of maximum likelihood problems and methods of solving these problems that occurred in the literature. They found that all of these methods had some ideas in common and they named it the EM Algorithm, standing for "Expectation, Maximization".)
- "Page 1 SCASA’s 2006 Workshop in Applied Statistics". sc-asa.org. Retrieved 2008-07-14.