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CSDA
2010
173views more  CSDA 2010»
13 years 8 months ago
Time-varying joint distribution through copulas
This paper deals with the analysis of temporal dependence in multivariate highfrequency time series data. The dependence structure between the marginal series is modelled through ...
M. Concepcion Ausin, Hedibert F. Lopes
MOBIQUITOUS
2005
IEEE
14 years 1 months ago
Multivariate Analysis for Probabilistic WLAN Location Determination Systems
WLAN location determination systems are gaining increasing attention due to the value they add to wireless networks. In this paper, we present a multivariate analysis technique fo...
Moustafa Youssef, Mohamed Abdallah
FPL
2010
Springer
139views Hardware» more  FPL 2010»
13 years 5 months ago
Mapping Multiple Multivariate Gaussian Random Number Generators on an FPGA
A Multivariate Gaussian random number generator (MVGRNG) is an essential block for many hardware designs, including Monte Carlo simulations. These simulations are usually used in a...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
EVOW
2009
Springer
14 years 2 months ago
On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies
Motivated by parallel optimization, we experiment EDA-like adaptation-rules in the case of λ large. The rule we use, essentially based on estimation of multivariate normal algorit...
Fabien Teytaud, Olivier Teytaud
CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 7 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman