Details
Title
SMAT
Formal Name (French)
Chaire de statistique mathématique
Formal Name (English)
Chair of Mathematical Statistics
Lab Manager
Panaretos, Victor
Group ID
U11798
Affiliated authors
Caponera, Alessia
Chakraborty, Anirvan
Dehaene, Guillaume
Descary, Marie-Hélène
Freulon, Paul Xavier
Georgakis, Nikitas
Ghodrati, Laya
Gurican, Pavol
Konis, Kjell
Kraus, Andrea
Kraus, David
Kuusela, Mikael
Masarotto, Valentina
Masák, Tomas
Mohammadi Jouzdani, Neda
Panaretos, Victor
Pham, Tung Huy
Rubin, Tomas
Santoro, Leonardo
Sarkar, Soham
Schaffner Portillo, Maroussia
Sharma, Rahul
Stöcker, Jan Almond
Tavakoli, Shahin
Turner, Katharine Felicity
Waghmare, Kartik
Wei, Susan
Yao, Zhigang
Yun, Ho
Zemel, Yoav
Chakraborty, Anirvan
Dehaene, Guillaume
Descary, Marie-Hélène
Freulon, Paul Xavier
Georgakis, Nikitas
Ghodrati, Laya
Gurican, Pavol
Konis, Kjell
Kraus, Andrea
Kraus, David
Kuusela, Mikael
Masarotto, Valentina
Masák, Tomas
Mohammadi Jouzdani, Neda
Panaretos, Victor
Pham, Tung Huy
Rubin, Tomas
Santoro, Leonardo
Sarkar, Soham
Schaffner Portillo, Maroussia
Sharma, Rahul
Stöcker, Jan Almond
Tavakoli, Shahin
Turner, Katharine Felicity
Waghmare, Kartik
Wei, Susan
Yao, Zhigang
Yun, Ho
Zemel, Yoav
Institute
MATH
Faculty
SB
Note
Members of SMAT-unit
Linked resource
http://smat.epfl.ch
Publications
Asymptotic Inference For Partially Observed Branching Processes
CovNet: Covariance networks for functional data on multidimensional domains
Empirical evolution equations
Functional registration and local variations: Identifiability, rank, and tuning
Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count met[...]
On Generalizations of Some Distance Based Classifiers for HDLSS Data
On Perfect Clustering of High Dimension, Low Sample Size Data
On some graph-based two-sample tests for high dimension, low sample size data
The Completion Of Covariance Kernels
Towards More Accurate Radio Telescope Images
See complete list of publications (76)
CovNet: Covariance networks for functional data on multidimensional domains
Empirical evolution equations
Functional registration and local variations: Identifiability, rank, and tuning
Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count met[...]
On Generalizations of Some Distance Based Classifiers for HDLSS Data
On Perfect Clustering of High Dimension, Low Sample Size Data
On some graph-based two-sample tests for high dimension, low sample size data
The Completion Of Covariance Kernels
Towards More Accurate Radio Telescope Images
See complete list of publications (76)
Record appears in
Authorities > Lab