CSSC
2010
13 years 5 months ago
2010
: An example was given in the textbook All of Statistics (Wasserman, 2004, pages 186-188) for arguing that, in the problems with a great many parameters Bayesian inferences are wea...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need tuning. In this work...
BMCBI
2008
13 years 5 months ago
2008
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
BMCBI
2008
13 years 5 months ago
2008
Background: Simulating the major molecular events inside an Escherichia coli cell can lead to a very large number of reactions that compose its overall behaviour. Not only should ...
BMCBI
2007
13 years 5 months ago
2007
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
BMCBI
2010
13 years 5 months ago
2010
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
AUTOMATICA
2008
13 years 5 months ago
2008
Data-based control design methods most often consist of iterative adjustment of the controller's parameters towards the parameter values which minimize an H2 performance crit...
AUTOMATICA
2008
13 years 5 months ago
2008
The accuracy of plant parameters estimated in closed-loop operation is investigated for a class of multivariable systems and for the situation where only some of the reference inp...
AUTOMATICA
2010
13 years 5 months ago
2010
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...