ANNOUNCEMENTS
Dr. Allen Rutherford, RNR, is serving as Interim Department Head, effective October 1, 2015.
Ph.D. Minor Student Siavash Shojaat earns "Best Paper" award. (Dr. Luis Escobar, supervisor)
SAS 9.4 available
JMP Pro 15 for Windows and OS X available on TigerWare at no charge for faculty and students.
EXST 4025: SAS Programming
now offered all semesters.
The Department of Experimental Statistics is the principal source of statistical education, research, and service at Louisiana State University and the Louisiana State University AgCenter. The Department is unique in its strong orientation toward the application of statistics, and faculty provide expert statistical support for the University community. The Department offers both thesis and non-thesis programs leading to the degree of Master of Applied Statistics (M.Ap.Stat.).
Seminar Announcement
Progress by Adapting to a Changing Environment
Madhuri S. Mulekar
Department of Mathematics and StatisticsUniversity of South Alabama, Mobile, AL
Tuesday, January 28
Reception: 3:00 - 3:30 p.m.
Seminar: 3:30 - 4:20 p.m.
155 Coates Hall
"For surviving in this ever-changing environment as a student, faculty, colleague, and adminstrator, my curious nature forced me to seek out knowledge about these changes and adapt some of them. Every day I find myself encountering something new and exciting and making plans to incorporate some of it in teaching, research, consulting, collaborative activities, and administration. Some plans are successful, and some are still waiting for results or adoption.
Position Announcement:
Assistant / Associate Professor
Closing date: March 1, 2020,
or until a suitable candidate is selected.
Position Announcement:
Closing date: November 30, 2019,
or until a suitable candidate is selected.
(Reannouncement)
(includes three articles authored or co-authored by faculty members Dr. Thanos Gentimis and Dr. David Blouin)
The Data Science Society @ LSU
A student-run university-wide ensemble of students (graduate and undergraduate) whose work or research remotely involve at least one of the following: statistical modelling and large scale inference, machine learning and deep learning, and working with databases.
