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    SAC
    2008
    ACM
    153views Applied Computing» more  SAC 2008»
    Adaptive importance sampling in general mixture classes
    13 years 8 months ago
    Adaptive importance sampling in general mixture classes
    Download  www.ceremade.dauphine.fr
    In this paper, we propose an adaptive algorithm that iteratively updates both the weights and component parameters of a mixture importance sampling density so as to optimise the p...
    Olivier Cappé, Randal Douc, Arnaud Guillin,...
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    SAC
    2008
    ACM
    154views Applied Computing» more  SAC 2008»
    Adaptive independence samplers
    13 years 8 months ago
    Adaptive independence samplers
    Download  www.maths.uq.edu.au
    Jonathan M. Keith, Dirk P. Kroese, George Y. Sofro...
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    SAC
    2008
    ACM
    128views Applied Computing» more  SAC 2008»
    Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems
    13 years 8 months ago
    Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems
    Download  www.stat.tamu.edu
    Yuan Ren, Yu Ding, Faming Liang
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    SAC
    2008
    ACM
    113views Applied Computing» more  SAC 2008»
    ML estimation for factor analysis: EM or non-EM?
    13 years 8 months ago
    ML estimation for factor analysis: EM or non-EM?
    Download  www.hku.hk
    Jian-Hua Zhao, Philip L. H. Yu, Qibao Jiang
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    SAC
    2008
    ACM
    97views Applied Computing» more  SAC 2008»
    SiZer Map for inference with additive models
    13 years 8 months ago
    SiZer Map for inference with additive models
    Download  www.stat.ucl.ac.be
    Wenceslao González-Manteiga, M. D. Mart&iac...
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    SAC
    2008
    ACM
    176views Applied Computing» more  SAC 2008»
    Bayesian inference for a discretely observed stochastic kinetic model
    13 years 8 months ago
    Bayesian inference for a discretely observed stochastic kinetic model
    Download  www.maths.bris.ac.uk
    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....
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    SAC
    2008
    ACM
    263views Applied Computing» more  SAC 2008»
    Computational methods for complex stochastic systems: a review of some alternatives to MCMC
    13 years 8 months ago
    Computational methods for complex stochastic systems: a review of some alternatives to MCMC
    Download  eprints.lancs.ac.uk
    We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
    Paul Fearnhead
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    SAC
    2008
    ACM
    202views Applied Computing» more  SAC 2008»
    On the computation of the noncentral F and noncentral beta distribution
    13 years 8 months ago
    On the computation of the noncentral F and noncentral beta distribution
    Download  reliablecomputing.eu
    Ali Baharev, Sándor Kemény
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    SAC
    2008
    ACM
    114views Applied Computing» more  SAC 2008»
    A mixture model for random graphs
    13 years 8 months ago
    A mixture model for random graphs
    Download  www.lix.polytechnique.fr
    Jean-Jacques Daudin, Franck Picard, Stéphan...
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    SAC
    2008
    ACM
    88views Applied Computing» more  SAC 2008»
    Output-sensitive algorithms for Tukey depth and related problems
    13 years 8 months ago
    Output-sensitive algorithms for Tukey depth and related problems
    Download  cg.scs.carleton.ca
    The Tukey depth (Tukey 1975) of a point p with respect to a finite set S of points is the minimum number of elements of S contained in any closed halfspace that contains p. Algori...
    David Bremner, Dan Chen, John Iacono, Stefan Lange...
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