What is statistics?

Statistics is the science of learning from data, the science of quantifying, controlling and communicating uncertainty. Statisticians apply statistical models and methods in a wide variety of areas such as astronomy, biology, education, economics, engineering, genetics, marketing, medicine,  psychology, public health, sports, among many.      Continue reading...

 

What do statisticians do?

No matter what you call them — statistical scientists, data scientists,  or analysts — statisticians are a diverse group of people with one thing in common: they use statistics to draw valuable insights from data. Statisticians work in many interesting fields.       Continue reading...

Why study Statistics?

Statistics is a fulfilling and rewarding profession. It is both intellectually stimulating yet widely useful and broadly applicable. The effective practice of statistics requires a deep understanding of mathematics, modern computing and, of course, a host of inferential methods developed over the last century.

 Continue reading...

Why study Statistics with us?

Our department offers comprehensive and  up-to-date undergraduate and graduate programs. Our graduates work as statisticians, data analysts/scientists and actuaries in leading high-tech and insurance companies.  Continue reading...

  • The Department of Statistics congratulates Dr. Danny Segev, who was honored with the 2016 Harold W. Kuhn Award by the Naval Research Logistics for his paper: “Maintenance Scheduling for Modular Systems: Modeling and Algorithms," Naval Research Logistics 61, 472-488, 2014 (Levy, Magnanti, Muckstadt, Segev and Zarybnisky). The Harold W. Kuhn Award is presented annually to an exceptional paper published in Naval Research Logistics during the previous three years as selected by a committee of the Associate Editors.

 

  • Congratulations to Prof. Philip Reiss  and Dr. Danny Segev, recipients of the 2016 Israel Science Foundation ISF research grants.

 

  • Congratulations to Prof. Udi Makov who won  the 2016 Individual Grant Competition of the Casualty Actuarial Society (CAS), the Actuarial Foundation of Canada (AFC), and the Society of Actuaries’ (SOA).

 

30/11/2016: Dan Garber, Toyota Technological Institute, Chicago. "Faster Projection-free Machine Learning and Optimization"
14/12/2016: Daniel Nevo, Harvard University