Day
1, Monday 12 August 
08:0008:45

Registration
and light breakfast

08:4509:00

Opening Remarks: S. Ejaz Ahmed 
09:0010:20

Keynote Addresses, Chair: George P. H. Styan 
09:0009:40

Ingram Olkin
A Linear Algebra Biography 
09:4010:20

KaiTai Fang
The Magic Square  Historical Review and Recent Development 
10:2010:45

Coffee
and Healthy Break

10:4512:15

Invited Talks, Chair: Hans Joachim Werner

10:4511:15

George P. H. Styan
Some Illustrated Comments on the
Dürer Magic Square
and on some Dürerlike Classic 4 x 4 Magic Matrices

11:1511:45

Susmita Datta
Rank Aggregation in Bioinformatics Problems 
11:4512:15

Somnath Datta
Robust Regression Analysis of Longitudinal Data under Censoring 
12:1513:30

Lunch at the Faculty Club, 41 Willcocks (map) 
13:3015:00

Invited
Talks, Chair: Jeffrey J. Hunter

13:3014:00

Karl Gustafson
A New Financial Risk Ratio

14:0014:30

Fuzhen
Zhang
Integer Partition, Young Diagram,
and Majorization 
14:3015:00

Shuangge
Ma
Contrasted Penalized Integrative
Analysis 
15:0015:05

Discussion
Break 
15:0516:25

Contributed
talks 
Session
A, Chair: Erkki P. Liski
Location: Bahen Room 1180 
15:0515:25

Erkki
P. Liski
On Subspace Distance
and the Mean of Subspaces 
15:2515:45

Mika
Mattila
Estimating the Eigenvalues
of Meet and Join Matrices 
15:4516:05

Eero
Liski
Averaging Orthogonal
Projectors 
16:0516:25

Sami
Helle
Distance Optimal
Designs for Linear Models 
Session
B, Chair: Nino Demetrashvili
Location: Bahen Room 1200 
15:0515:25

Nino
Demetrashvili
Confidence
Intervals for Intraclass Correlation Coefficients in Nonlinear Mixed
Effects Models 
15:2515:45

Sayantee
Jana
Parameter Estimation
and Moderated Trace Test for the Growth Curve Model for Highdimensional
Longitudinal Data 

16:2517:10

Coffee
and Healthy Break & Poster Session


Posters
(Abstracts)
1. Amali Dassanayake
Local orthogonal
polynomial expansions for density estimations.
2. Sami Helle
Error bound for metamodel
extreme value approximation of blackbox computer experiments
3. Joonas Kauppinen
Decomposing selfsimilarity
matrices to infer structure in music
4. Tiefeng Ma, Shuangzhe Liu and S. Ejaz Ahmed
5. Ka Lok Chu and George P. H. Styan
Some illustrated comments
on Anderson graphs and Greek mythology
tables for classic magic squares

17:1018:25

Special
Session to celebrate Lynn Roy LaMotte's 70th Birthday
Organizer and Chair: Simo Puntanen 
17:1017:35

Lynn Roy LaMotte
On Formulation of Models for
Factor Effects 
17:3518:00

David A. Harville
Prediction: A "Nondenominational"
ModelBased Approach 
18:0018:25

J. N. K. Rao
Robust Estimation of Variance Components
in Linear Mixed and Semiparametric Mixed Models 
Day
2, Tuesday August 13 
09:0010:30

Invited
Talks, Chair: Erkki P. Liski

09:0009:30

Jianxin
Pan
Covariance Matrix Modeling: Recent
Advances 
09:3010:00

Tonu Kollo
Matrix Starproduct and Skew Elliptical
Distributions 
10:0010:30

Steven
N. MacEachern
Efficient Quantile Regression
for Linear Heterogenous Models 
10:3011:00

Coffee
and Healthy Break 
11:0012:15

Special
Session on OpenSource Statistical Computing
Organizer and Chair: Reijo Sund 
11:0011:25

Reijo Sund
Survo R for Opensource Statistical
Computing 
11:2511:50

Antti Liski
The Effect of Data Constraints
on the Normalized Maximum Likelihood Criterion with Numerical Examples
using Survo R 
11:5012:15

Kimmo Vehkalahti
Teaching Matrix Computations
using SURVO R 
12:1513:30

Lunch
at the Faculty Club, 41 Willcocks (map) 
13:3015:00

Invited Talks,
Chair: Julia Volaufova 
13:3014:00

Oskar Maria Baksalary
On Certain Subspace Distances
Determined by the Frobenius Norm 
14:0014:30

Serge
Provost
On Improving Density Estimates
by Means of Polynomial Adjustments 
14:3015:00

Mohamed
Amezziane
Semiparametric Smoothing Through
Preliminary Test Estimation 
15:0015:05

Discussion
Break 
15:0516:45

Special
Session on Perspectives on High Dimensional Data Analysis
Part 1
Organizer and Chair: Muni S. Srivastava 
15:0515:30

Abbas
Khalili
Sparse Fixture
of Regression Models in High Dimensional Spaces 
15:3015:55

Martin
Singull
Test for
the mean in a growth curve model in high dimension

15:5516:20

Anand
Vidyashankar
Inference
for highdimensional data accounting for model selection variability

16:2016:45

J.
S. Marron
Object
oriented data analysis: HDLSS asymptotics 
16:4517:05

Coffee
and Healthy Break 
17:0518:05

Memorial
Session and Reception to honor Shayle R. Searle (19282013)
Organizer and Chair: Jeffrey J. Hunter
Speakers: 

Jeffrey
J. Hunter 
David
A. Harville 
J.
N. K. Rao 
Robert
Rodriguez 
Susan
Searle 
Heather
Selvaggio 
18:0519:00

Reception
at the Fields Institute, please enter from courtyard (map)
supported by the SAS Institute and Susan Searle & Heather Selvaggio

Day
3, Wednesday August 14 
08:4509:45

Invited
Talks, Chair: Augustyn Markiewicz 
08:4509:15

Abdulkadir Hussein
Efficient estimation in high
dimensional spatial regression models 
09:1509:45

Ali
Ghodsi
Nonnegative Matrix Factorization
via Rankone Downdate 
09:4510:10

Coffee
and Healthy Break 
10:1012:15

Special
Session on Applied Probability
Organizer and Chair: Jeffrey J. Hunter 
10:1010:35

Jeffrey
J. Hunter
Generalized Inverses of Markovian
Kernels in Terms of Properties of the Markov Chain 
10:3511:00

Iddo
BenAri
A Probabilistic Approach to Generalized
Zeckendorf Decompositions 
11:0011:25

Minerva
Catral
The Kemeny Constant for a Markov
Chain on a Given Directed Graph 
11:2511:50

Sophie
Hautphenne
An ExpectationMaximization
Algorithm for the Model Fitting of Markovian Binary Trees

11:5012:15

Jianhong
Xu
An Iterative Algorithm for Computing
Mean First Passage Matrices of Markov Chains 
12:1513:30

Lunch
at the Faculty Club, 41 Willcocks (map) 
13:3014:50

Contributed
talks
Session C, Chair: Hans Joachim Werner
Location: Bahen Room 1180 
13:3013:50

Hans
Joachim Werner
In the Year of Statistics:
C. R. Rao's IPM Method  Revisited and Extended

13:5014:10

Philip
V. Bertrand
A Matrix Method
for Solving Missing Data Problems 
14:1014:30

Xiaomi
Hu
Order Restricted
Multivariate Twosample Problems 
14:3014:50

Ka
Lok Chu
Some Illustrated Comments on Anderson Graphs and Greek Mythology
Tables for Classic Magic Squares 

Contributed
talks
Session D, Chair: David TitleyPeloquin
Location: Bahen Room 1200 
13:3013:50

David
TitleyPeloquin
Stochastic
Conditioning of Systems of Equations

13:5014:10

Joseph
Nzabanita
Multivariate
Linear Models with Kronecker Product and Linear Structures on the
Ovariance Matrices 
14:1014:30

Haruhiko Ogasawara
Bias Adjustment
Minimizing the Asymptotic Mean Square Error 
14:3014:50

Yuichiro
Ogawa
A Cutoff Point for
Diagonal Discriminant Analysis in High Dimension

14:5015:20 
Coffee
and Healthy Break 
15:2017:25 
Special
Session of Statistical Inference on GLM
Organizer and Chair: Krishna Saha 
15:2015:45

Krishna
Saha
Inference Concerning a Common Dispersion
of Several Treatment Groups in the Analysis of Count Response Data
from Clinical Trials 
15:4516:10

Dianliang
Deng
Goodness of Fit of Product Multinomial
Regression Models to Sparse Data 
16:1016:35

Severien
Nkurunziza
Optimal
Inference in Linear Model with Multiple Changepoints

16:3517:00

Akbar Azam
Random Operator
Equations in Probabilistic Functional Analysis.

17:0017:25

Jihnhee
Yu
A Maximum Likelihood Approach to
Analyzing Incomplete Longitudinal Data in Mammary Tumor Development
Experiments with Mice 
17:2517:45

Contributed
talk, Chair: Simo Puntanen 
17:2517:45

Reijo Sund
Flashes from the
Second Tampere Conference in Statistics in 1987 and
the first IWMS in 1990 
19:1522:00

Reception
(cash bar) and Dinner (menu) at Bar Mercurio,
321 Bloor St West, map, corner of St. George
and Bloor St. (tickets required) 
Day
4, Thursday August 15 
09:0010:40

Special
Session on Perspectives on High Dimensional Data Analysis
Part 2, Organizer: Muni S. Srivastava, Chair: Takahiro Nishiyama

09:0009:25

Takahiro
Nishiyama
Multivariate
Multiple Comparison Procedure among mean Vectors in Highdimensional
Settings 
09:2509:50

Shota
Katayama
Model
Selection in Highdimensional Multivariate Linear Regression Analysis
with Sparse Inverse Covariance Structure

09:5010:15

Takayuki
Yamada
Test for
Assessing Multivariate Normality Available for Highdimensional
Data 
10:1510:40

Hirokazu
Yanagihara
Conditions
for Consistency of a Loglikelihoodbased Information Criterion
in Highdimensional Multivariate Linear Regression Models under
the Violation of Normality Assumption

10:4011:10

Coffee
and Healthy Break 
11:1012:10

Contributed
talks,
Chair: Julia Volaufova 
11:1011:30

Julia
Volaufova
Twostage Approximate
Testing in Nonlinear Mixed Models 
11:3011:50

Augustyn
Markiewicz
Optimal Neighbor
Designs under Several Interference Models


Simo
Puntanen
Formulas Useful
for Linear Regression Analysis and Related Matrix Theory

12:1012:15

Closing
remarks: S. Ejaz Ahmed 