Biography:Helena Chmura Kraemer

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Short description: American mathematician
Helena Chmura Kraemer
Academic background
EducationUniversity of Manchester
Alma materSmith College (BA)
Stanford University (PhD)
ThesisPoint Estimation in Learning Models (1963)
Doctoral advisorPatrick Suppes
Academic work
InstitutionsStanford University

Helena Chmura Kraemer is an American professor emerita of biostatistics at Stanford University. She is a fellow of the American Statistical Association.

Education

Helena Chmura Kraemer completed a Bachelor of Arts in mathematics with Phi Beta Kappa honors from Smith College in 1957.[1][2] In 1958, Kraemer attended University of Manchester as a Fulbright fellow. Kraemer earned a Doctor of Philosophy in statistics from Stanford University in 1963.[3] Her dissertation was titled Point Estimation in Learning Models. Her doctoral advisor was Patrick Suppes.[4]

Career

Kraemer is a professor emerita of biostatistics in the Department of Psychiatry and Behavioral Sciences at Stanford University.[1]

Awards and honors

Kraemer became a fellow of the American Statistical Association in 1987. She is a member of the American College of Neuropsychopharmacology (1994) and the Institute of Medicine of the National Academies (2003).[3] She was awarded the Franklin Ebaugh Prize from Stanford University and the Harvard Prize in Psychiatric Biostatistics and Epidemiology (2001).[1][2] In 2014, she was awarded an honorary degree from Wesleyan University.[2]

Selected works

Books

References

  1. 1.0 1.1 1.2 "Kraemer, Helena" (in en-us). SAGE Publications Inc. 2018-09-12. https://us.sagepub.com/en-us/nam/author/helena-chmura-kraemer. 
  2. 2.0 2.1 2.2 Drake, Olivia (2014-05-25). "Wesleyan Confers Honorary Degrees on White, Shaw '76, Kraemer" (in en-us). News @ Wesleyan. http://newsletter.blogs.wesleyan.edu/2014/05/25/honorarydegrees2014/. 
  3. 3.0 3.1 "Helena Chmura Kraemer's Profile" (in en). https://profiles.stanford.edu/helena-kraemer. 
  4. Kraemer, Helena Chmura (1964). "Point estimation in learning models" (in en). Journal of Mathematical Psychology 1 (1): 28–53. doi:10.1016/0022-2496(64)90016-1. ISSN 0022-2496.