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Yoav Benjamini (Israel)
Hierarchical analysis of experiments involving complex ANOVAYoav Benjamini
Department of statistics and Operations Research
Tel Aviv University
Tel Aviv
IsraelResearch interests: Theoretical research in statistical methodology with applied research that involves complex problems with massive data. The methodological work is on selective and simultaneous inference (multiple comparisons), as well as on general methods for data analysis, data mining, and data visualization. Lynn Roy LaMotte (USA)
A resolution for unbalanced ANOVALynn Roy LaMotte
LSU Health New Orleans
USAResearch interests: -
Nicola Loperfido (Italy)
Projection pursuit: theory, applications and challenges -
Augustyn Markiewicz (Poland)
Characterization of matrix quadratic spaces with application to the estimation of covariance matricesAugustyn Markiewicz
Department of Mathematical and Statistical Methods
Poznań University of Life Sciences
Poznań
PolandResearch interests: Matrices, matrix theory, algebra, linear algebra, statistics, applied mathematics, maximum likelihood, linear regression, regression modeling, linear models, design of experiments. Dietrich von Rosen (Sweden)
What can we learn from the classification of growth curvesDietrich von Rosen
Swedish University of Agricultural Sciences
Uppsala
SwedenResearch interests: -
Douglas Wiens (Canada)
To ignore dependencies is perhaps not a sin Viktor Witkovský (Slovakia)
Effortless calculation of complex probability distributions using CharFunTool: Computational methods, tools and applicationsViktor Witkovský
Institute of Measurement Science
Slovak Academy of Sciences
Bratislava
SlovakiaResearch interests: exact and approximate mathematical and statistical methods for small sample sizes, theoretical and computational aspects of statistical inference, statistical inference for linear and non-linear mixed effects models, methods and algorithms for computing and combining the probability distributions for statistical applications, models and methods for measurement and metrology: determination of uncertainties in measurement, interlaboratory comparisons, calibration, data analysis and applications of statistical methods.
Young Scientists Awards Invited Speakers
Emelyne Umunoza Gasana (Sweden)
Edgeworth-type expansion of the density of the classifier when growth curves are classified via likelihoodEmelyne Umunoza Gasana
e-mail
webpageResearch interests: Mateusz John (Poland)
Estimation and testing in hierarchical modelMateusz John
e-mail
webpageResearch interests: Maria-Zafeiria Spyropoulou (UK)
Maria-Zafeiria Spyropoulou
School of Sport and Exercise Sciences
University of Kente-mail
webpageResearch interests: Bayesian statistics, data visualisation, biostatistics, machine learning.