Canadian Math Kangaroo Contest 2018

Event Date: 
Sunday, March 18, 2018 - 11:00am EDT
Event Location: 
2nd Floor of the Ryan Building

The 2018 Canadian Math Kangaroo Contest will be held on Sunday, March 18, 2018 at Lakehead University. The contest is open to all grades 1 to 12 students.  Registration is at 10:45 am on the 2nd floor of the Ryan Building and the test will begin promptly at 11:00 am.

Early registration fee ($17 Cdn) will end on February 18th.  Official registration deadline is March 4, 2018 at www.mathkangaroocanada.com

 

16th Annual Northwestern Ontario High School Math Contest (2018)

Event Date: 
Thursday, April 26, 2018 - 9:00am to 1:50pm EDT
Event Location: 
16th Annual Northwestern Ontario High School Contest (2018)

The 16th Annual Northwestern Ontario High School Math Contest is scheduled for Thursday, April 26, 2018.  The registration deadline is Monday, April 16, 2018.  

Further information will be posted, as it becomes available.  

Multiple change-point detection via VIF regression

Event Date: 
Friday, October 30, 2015 - 3:30pm to 4:25pm EDT
Event Location: 
RB 1021

Speaker: Dr. Yuehua (Amy) Wu, Professor, Department of
Mathematics and Statistics, York University

Abstract: In this talk, we present a procedure for detecting multiple
change-points in a mean-shift model, where the number of change-points
is allowed to increase with the sample size. A theoretic justification
for this method is also given. We first convert the change-point
problem into a variable selection problem by partitioning the data
sequence into several segments. Then, we apply a modified variance
inflation factor regression algorithm to each segment in sequential
order. When a segment that is suspected of containing a change-point
is found, we use a weighted cumulative sum to test if there is indeed
a change-point in this segment. The procedure is implemented in an
algorithm which, compared to two popular methods via simulation
studies, demonstrates satisfactory performance in terms of accuracy,
stability and computation time. Real data examples are also provided.