Keynote Speakers

 Somnath Datta

Department of Bioinformatics and Biostatistics
School of Public Health and Information Sciences
University of Louisville
USA
somnath.datta@louisville.edu
webpage

Research interests: biostatistics, bioinformatics, bootstrap methods, clustering and classification, compound decision theory, empirical Bayes, genetics, nonparametric function estimation, survival analysis, time series.

 Thomas Mathew

Department of Mathematics and Statistics
University of Maryland
Baltimore
USA
mathew@math.umbc.edu
webpage

Research interests: development of statistical procedures for analyzing data on workplace exposure to contaminants, the study of statistical calibration and tolerance regions, inference in linear mixed and random models, bioequivalence testing.

 Muni S. Srivastava

Department of Statistics
University of Toronto

Canada
srivasta@utstat.toronto.edu
webpage

Research interests: multivariate analysis, sequential analysis and quality control.


Invited Speakers

Inference

 S. Ejaz Ahmed

Department of Mathematics and Statistics
University of Windsor
Windsor, Ontario
Canada
seahmed@uwindsor.ca
webpage

Research interests: Statistical inference, asymptotic theory, statistical education and consulting.

 Carlos A. Braumann

Department of Mathematics & CIMA (Research Center in Mathematics and Applications)
Évora University

Portugal
braumann@uevora.pt
webpage

Research interests: stochastic differential equations and other stochastic models in population growth, fishing, animal growth and demography in randomly varying environment (modeling, statistical inference, optimization). 

 Sat Gupta

Department of Mathematics and Statistics
University of North Carolina
Greensboro
USA
sngupta@uncg.edu
webpage

Research interests: Survey sampling.

Experimental Designs

 Anthony Atkinson

Department of Statistics
The London School of Economics and Political Science
London - UK
a.c.atkinson@lse.ac.uk
webpage

Research interests: applied and theoretical statistics; clinical trials; generalised linear models; simulation; robust statisical methods; regresion diagnostics; optimum experimental design.

 Barbara Bogacka


School of Mathematical Sciences
Queen Mary, University of London           
London - UK
b.bogacka@qmul.ac.uk
webpage

Research interests: experimental designs for linear and non-linear models of observations. Criteria of design optimality for parameter estimation, hypothesis testing and discrimination between models. Applications of design optimality theory in agriculture, biology, chemistry and drug development studies.

 Stanisław Mejza

Department of Mathematical and Statistical Methods 
Poznań Univrsity of Life Sciences
Poznań
Poland
smejza@up.poznan.pl

Research interests: Experimental designs, linear fixed and mixed models, inference, with applications to agriculture, biology, genetics (biometry) and ecology.

Linear Models

 Dinis Pestana

Department of Statistics and Operations Research
Lisbon University

Portugal
dinis.pestana@fc.ul.pt
webpage

Research interests: probability; localization and scale in non gaussian populations; biostatistics; sampling; nonparametric statistics; history of probability and statistics; methodology of scientific research.

Mixed Models

 Lynn R. LaMotte

Biostatistics Program
School of Public Health
Louisiana State University Health Sciences Center
New Orleans - USA
llamot@lsuhsc.edu
webpage

Research interests: developing statistical methodology related to applications of linear models. 

 Júlia Volaufová

Biostatistics Program
Loisiana State University Health Center
School of Public Health
New Orleans - USA
jvolau@lsuhsc.edu
webpage

Research interests: Inference in mixed linear models (estimation and testing), applications in biomedical research. 

 Roman Zmyślony

Department of Mathematical Statistics
University of Ople 

Faculty of Mathematics, Computer Science and Econometrics
University of Zielona Góra
Poland
rzmyslony@op.pl
r.zmyslony@wmie.uz.zgora.pl

webpage

Research interests: Estimation and testing hypothesis in mixed linear models, experimental designs, application of experimental designs in chemistry, biology, agriculture and economy. 

Matrix Methods

Charles R. Johnson

Department of Mathematics
The College of William and Mary
Virginia
USA
crjohnso@math.wm.edu
webpage

Research interests: combinatorial matrix theory, including matrix completion problems and qualitative matrix theory, inequalilities for generalized matrix functions, norms, numerical ranges, eigenvalues, and non-negative matrices. 


Young Scientists Awards - LinStat 2008

Inference

Aylin Alin

Department of Statistics
Faculty of Arts and Sciences
Dokuz Eylül University
Izmir - Turkey
aylin.alin@deu.edu.tr
webpage

Research interests: Categorical data analysis, multivariate data analysis. 

Thomas Rusch

Department of Statistics and Mathematics
Vienna University of Economics and Business
Vienna
Austria
thomas.rusch@wu.ac.at
webpage

Research interests: Psycometrics and item response theory, generalized linear mixed models, applied statistics in social sciences, categorical data analysis, machine learning and computational statistics, statistical consulting. 

Linear Models

Klaus Nordhausen

Department of Mathematics
Tampere School of Public Health
Tampere University
Finland
klaus.nordhausen@uta.fi
webpage

Research interests: nonparametric and robust methods for multivariate medical data, especially for hemodynamic data coming from the DYNAMIC study. 

Wojciech Rejchel

Faculty of Mathematics and Computer Sciences
Nicolaus Copernicus University
Toruń
Poland
wrejchel@gmail.com

Research interests: machine learning and learning theory (in particular classification and ranking), empirical processes and U-processes.