Day
1, Monday 12 August |
08:00-08:45
|
Registration
and light breakfast
|
08:45-09:00
|
Opening Remarks: S. Ejaz Ahmed |
09:00-10:20
|
Keynote Addresses, Chair: George P. H. Styan |
09:00-09:40
|
Ingram Olkin
A Linear Algebra Biography |
09:40-10:20
|
Kai-Tai Fang
The Magic Square - Historical Review and Recent Development |
10:20-10:45
|
Coffee
and Healthy Break
|
10:45-12:15
|
Invited Talks, Chair: Hans Joachim Werner
|
10:45-11:15
|
George P. H. Styan
Some Illustrated Comments on the
Dürer Magic Square
and on some Dürer-like Classic 4 x 4 Magic Matrices
|
11:15-11:45
|
Susmita Datta
Rank Aggregation in Bioinformatics Problems |
11:45-12:15
|
Somnath Datta
Robust Regression Analysis of Longitudinal Data under Censoring |
12:15-13:30
|
Lunch at the Faculty Club, 41 Willcocks (map) |
13:30-15:00
|
Invited
Talks, Chair: Jeffrey J. Hunter
|
13:30-14:00
|
Karl Gustafson
A New Financial Risk Ratio
|
14:00-14:30
|
Fuzhen
Zhang
Integer Partition, Young Diagram,
and Majorization |
14:30-15:00
|
Shuangge
Ma
Contrasted Penalized Integrative
Analysis |
15:00-15:05
|
Discussion
Break |
15:05-16:25
|
Contributed
talks |
Session
A, Chair: Erkki P. Liski
Location: Bahen Room 1180 |
15:05-15:25
|
Erkki
P. Liski
On Subspace Distance
and the Mean of Subspaces |
15:25-15:45
|
Mika
Mattila
Estimating the Eigenvalues
of Meet and Join Matrices |
15:45-16:05
|
Eero
Liski
Averaging Orthogonal
Projectors |
16:05-16:25
|
Sami
Helle
Distance Optimal
Designs for Linear Models |
Session
B, Chair: Nino Demetrashvili
Location: Bahen Room 1200 |
15:05-15:25
|
Nino
Demetrashvili
Confidence
Intervals for Intraclass Correlation Coefficients in Nonlinear Mixed
Effects Models |
15:25-15:45
|
Sayantee
Jana
Parameter Estimation
and Moderated Trace Test for the Growth Curve Model for High-dimensional
Longitudinal Data |
|
16:25-17:10
|
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 black-box computer experiments
3. Joonas Kauppinen
Decomposing self-similarity
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
|
17:10-18:25
|
Special
Session to celebrate Lynn Roy LaMotte's 70th Birthday
Organizer and Chair: Simo Puntanen |
17:10-17:35
|
Lynn Roy LaMotte
On Formulation of Models for
Factor Effects |
17:35-18:00
|
David A. Harville
Prediction: A "Nondenominational"
Model-Based Approach |
18:00-18:25
|
J. N. K. Rao
Robust Estimation of Variance Components
in Linear Mixed and Semi-parametric Mixed Models |
Day
2, Tuesday August 13 |
09:00-10:30
|
Invited
Talks, Chair: Erkki P. Liski
|
09:00-09:30
|
Jianxin
Pan
Covariance Matrix Modeling: Recent
Advances |
09:30-10:00
|
Tonu Kollo
Matrix Star-product and Skew Elliptical
Distributions |
10:00-10:30
|
Steven
N. MacEachern
Efficient Quantile Regression
for Linear Heterogenous Models |
10:30-11:00
|
Coffee
and Healthy Break |
11:00-12:15
|
Special
Session on Open-Source Statistical Computing
Organizer and Chair: Reijo Sund |
11:00-11:25
|
Reijo Sund
Survo R for Open-source Statistical
Computing |
11:25-11:50
|
Antti Liski
The Effect of Data Constraints
on the Normalized Maximum Likelihood Criterion with Numerical Examples
using Survo R |
11:50-12:15
|
Kimmo Vehkalahti
Teaching Matrix Computations
using SURVO R |
12:15-13:30
|
Lunch
at the Faculty Club, 41 Willcocks (map) |
13:30-15:00
|
Invited Talks,
Chair: Julia Volaufova |
13:30-14:00
|
Oskar Maria Baksalary
On Certain Subspace Distances
Determined by the Frobenius Norm |
14:00-14:30
|
Serge
Provost
On Improving Density Estimates
by Means of Polynomial Adjustments |
14:30-15:00
|
Mohamed
Amezziane
Semiparametric Smoothing Through
Preliminary Test Estimation |
15:00-15:05
|
Discussion
Break |
15:05-16:45
|
Special
Session on Perspectives on High Dimensional Data Analysis
Part 1
Organizer and Chair: Muni S. Srivastava |
15:05-15:30
|
Abbas
Khalili
Sparse Fixture
of Regression Models in High Dimensional Spaces |
15:30-15:55
|
Martin
Singull
Test for
the mean in a growth curve model in high dimension
|
15:55-16:20
|
Anand
Vidyashankar
Inference
for high-dimensional data accounting for model selection variability
|
16:20-16:45
|
J.
S. Marron
Object
oriented data analysis: HDLSS asymptotics |
16:45-17:05
|
Coffee
and Healthy Break |
17:05-18:05
|
Memorial
Session and Reception to honor Shayle R. Searle (1928-2013)
Organizer and Chair: Jeffrey J. Hunter
Speakers: |
|
Jeffrey
J. Hunter |
David
A. Harville |
J.
N. K. Rao |
Robert
Rodriguez |
Susan
Searle |
Heather
Selvaggio |
18:05-19:00
|
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 |
08:45-09:45
|
Invited
Talks, Chair: Augustyn Markiewicz |
08:45-09:15
|
Abdulkadir Hussein
Efficient estimation in high
dimensional spatial regression models |
09:15-09:45
|
Ali
Ghodsi
Nonnegative Matrix Factorization
via Rank-one Downdate |
09:45-10:10
|
Coffee
and Healthy Break |
10:10-12:15
|
Special
Session on Applied Probability
Organizer and Chair: Jeffrey J. Hunter |
10:10-10:35
|
Jeffrey
J. Hunter
Generalized Inverses of Markovian
Kernels in Terms of Properties of the Markov Chain |
10:35-11:00
|
Iddo
Ben-Ari
A Probabilistic Approach to Generalized
Zeckendorf Decompositions |
11:00-11:25
|
Minerva
Catral
The Kemeny Constant for a Markov
Chain on a Given Directed Graph |
11:25-11:50
|
Sophie
Hautphenne
An Expectation-Maximization
Algorithm for the Model Fitting of Markovian Binary Trees
|
11:50-12:15
|
Jianhong
Xu
An Iterative Algorithm for Computing
Mean First Passage Matrices of Markov Chains |
12:15-13:30
|
Lunch
at the Faculty Club, 41 Willcocks (map) |
13:30-14:50
|
Contributed
talks
Session C, Chair: Hans Joachim Werner
Location: Bahen Room 1180 |
13:30-13:50
|
Hans
Joachim Werner
In the Year of Statistics:
C. R. Rao's IPM Method - Revisited and Extended
|
13:50-14:10
|
Philip
V. Bertrand
A Matrix Method
for Solving Missing Data Problems |
14:10-14:30
|
Xiaomi
Hu
Order Restricted
Multivariate Two-sample Problems |
14:30-14:50
|
Ka
Lok Chu
Some Illustrated Comments on Anderson Graphs and Greek Mythology
Tables for Classic Magic Squares |
|
Contributed
talks
Session D, Chair: David Titley-Peloquin
Location: Bahen Room 1200 |
13:30-13:50
|
David
Titley-Peloquin
Stochastic
Conditioning of Systems of Equations
|
13:50-14:10
|
Joseph
Nzabanita
Multivariate
Linear Models with Kronecker Product and Linear Structures on the
Ovariance Matrices |
14:10-14:30
|
Haruhiko Ogasawara
Bias Adjustment
Minimizing the Asymptotic Mean Square Error |
14:30-14:50
|
Yuichiro
Ogawa
A Cut-off Point for
Diagonal Discriminant Analysis in High Dimension
|
14:50-15:20 |
Coffee
and Healthy Break |
15:20-17:25 |
Special
Session of Statistical Inference on GLM
Organizer and Chair: Krishna Saha |
15:20-15:45
|
Krishna
Saha
Inference Concerning a Common Dispersion
of Several Treatment Groups in the Analysis of Count Response Data
from Clinical Trials |
15:45-16:10
|
Dianliang
Deng
Goodness of Fit of Product Multinomial
Regression Models to Sparse Data |
16:10-16:35
|
Severien
Nkurunziza
Optimal
Inference in Linear Model with Multiple Change-points
|
16:35-17:00
|
Akbar Azam
Random Operator
Equations in Probabilistic Functional Analysis.
|
17:00-17:25
|
Jihnhee
Yu
A Maximum Likelihood Approach to
Analyzing Incomplete Longitudinal Data in Mammary Tumor Development
Experiments with Mice |
17:25-17:45
|
Contributed
talk, Chair: Simo Puntanen |
17:25-17:45
|
Reijo Sund
Flashes from the
Second Tampere Conference in Statistics in 1987 and
the first IWMS in 1990 |
19:15-22:00
|
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 |
09:00-10:40
|
Special
Session on Perspectives on High Dimensional Data Analysis
Part 2, Organizer: Muni S. Srivastava, Chair: Takahiro Nishiyama
|
09:00-09:25
|
Takahiro
Nishiyama
Multivariate
Multiple Comparison Procedure among mean Vectors in High-dimensional
Settings |
09:25-09:50
|
Shota
Katayama
Model
Selection in High-dimensional Multivariate Linear Regression Analysis
with Sparse Inverse Covariance Structure
|
09:50-10:15
|
Takayuki
Yamada
Test for
Assessing Multivariate Normality Available for High-dimensional
Data |
10:15-10:40
|
Hirokazu
Yanagihara
Conditions
for Consistency of a Log-likelihood-based Information Criterion
in High-dimensional Multivariate Linear Regression Models under
the Violation of Normality Assumption
|
10:40-11:10
|
Coffee
and Healthy Break |
11:10-12:10
|
Contributed
talks,
Chair: Julia Volaufova |
11:10-11:30
|
Julia
Volaufova
Two-stage Approximate
Testing in Nonlinear Mixed Models |
11:30-11:50
|
Augustyn
Markiewicz
Optimal Neighbor
Designs under Several Interference Models
|
|
Simo
Puntanen
Formulas Useful
for Linear Regression Analysis and Related Matrix Theory
|
12:10-12:15
|
Closing
remarks: S. Ejaz Ahmed |