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SAC
2008
ACM
15 years 6 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
MA
2010
Springer
107views Communications» more  MA 2010»
15 years 5 months ago
The multiple hybrid bootstrap - Resampling multivariate linear processes
The paper reconsiders the autoregressive aided periodogram bootstrap (AAPB) which has been suggested in Kreiß and Paparoditis (2003). Their idea was to combine a time domain param...
Carsten Jentsch, Jens-Peter Kreiss
PROCEDIA
2010
66views more  PROCEDIA 2010»
15 years 4 months ago
Free energy computation by controlled Langevin dynamics
We propose a nonequilibrium sampling method for computing free energy profiles along a given reaction coordinate. The method consists of two parts: a controlled Langevin sampler ...
Juan C. Latorre, Carsten Hartmann, Christof Sch&uu...
PVLDB
2010
104views more  PVLDB 2010»
15 years 4 months ago
MCDB-R: Risk Analysis in the Database
Enterprises often need to assess and manage the risk arising from uncertainty in their data. Such uncertainty is typically modeled as a probability distribution over the uncertain...
Peter J. Haas, Christopher M. Jermaine, Subi Arumu...
SAC
2011
ACM
15 years 1 months ago
Non parametric estimation of the structural expectation of a stochastic increasing function
This article introduces a non parametric warping model for functional data. When the outcome of an experiment is a sample of curves, data can be seen as realizations of a stochast...
J.-F. Dupuy, J.-M. Loubes, E. Maza