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    SAC
    2008
    ACM
    113views Applied Computing» more  SAC 2008»
    ML estimation for factor analysis: EM or non-EM?
    14 years 1 months ago
    ML estimation for factor analysis: EM or non-EM?
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    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
    14 years 1 months ago
    SiZer Map for inference with additive models
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    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
    14 years 1 months ago
    Bayesian inference for a discretely observed stochastic kinetic model
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    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
    14 years 1 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
    14 years 1 months ago
    On the computation of the noncentral F and noncentral beta distribution
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    Ali Baharev, Sándor Kemény
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    SAC
    2008
    ACM
    114views Applied Computing» more  SAC 2008»
    A mixture model for random graphs
    14 years 1 months ago
    A mixture model for random graphs
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    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
    14 years 1 months ago
    Output-sensitive algorithms for Tukey depth and related problems
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    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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    SAC
    2008
    ACM
    80views Applied Computing» more  SAC 2008»
    Curve prediction and clustering with mixtures of Gaussian process functional regression models
    14 years 1 months ago
    Curve prediction and clustering with mixtures of Gaussian process functional regression models
    Download  www.staff.ncl.ac.uk
    J. Q. Shi, B. Wang
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    SAC
    2008
    ACM
    126views Applied Computing» more  SAC 2008»
    Particle methods for maximum likelihood estimation in latent variable models
    14 years 1 months ago
    Particle methods for maximum likelihood estimation in latent variable models
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    Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
    Adam M. Johansen, Arnaud Doucet, Manuel Davy
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    SAC
    2008
    ACM
    188views Applied Computing» more  SAC 2008»
    Local linear regression with adaptive orthogonal fitting for the wind power application
    14 years 1 months ago
    Local linear regression with adaptive orthogonal fitting for the wind power application
    Download  www2.imm.dtu.dk
    For short-term forecasting of wind generation, a necessary step is to model the function for the conversion of meteorological variables (mainly wind speed) to power production. Su...
    Pierre Pinson, Henrik Aalborg Nielsen, Henrik Mads...
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