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CSDA
2007
124views more  CSDA 2007»
13 years 5 months ago
Wavelet based time-varying vector autoregressive modelling
Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
João Ricardo Sato, Pedro Alberto Morettin, ...
CSDA
2007
151views more  CSDA 2007»
13 years 5 months ago
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Marco Alfò, Alessio Farcomeni, Luca Tardell...
CSDA
2007
115views more  CSDA 2007»
13 years 5 months ago
Algorithms for compact letter displays: Comparison and evaluation
Multiple pairwise comparisons are one of the most frequent tasks in applied statistics. In this context, letter displays may be used for a compact presentation of results of multi...
Jens Gramm, Jiong Guo, Falk Hüffner, Rolf Nie...
CSDA
2007
100views more  CSDA 2007»
13 years 5 months ago
Estimation in a linear multivariate measurement error model with a change point in the data
A linear multivariate measurement error model AX = B is considered. The errors in A B are row-wise finite dependent, and within each row, the errors may be correlated. Some of th...
Alexander Kukush, Ivan Markovsky, Sabine Van Huffe...
CSDA
2007
169views more  CSDA 2007»
13 years 4 months ago
A null space method for over-complete blind source separation
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...
Ray-Bing Chen, Ying Nian Wu