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    NIPS
    2008
    210views Information Technology» more  NIPS 2008»
    Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
    13 years 6 months ago
    Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
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    Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
    Ben Calderhead, Mark Girolami, Neil D. Lawrence
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    TCS
    2008
    96views Theoretical Computer Science» more  TCS 2008»
    Bayesian inference for differential equations
    13 years 4 months ago
    Bayesian inference for differential equations
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    Mark Girolami
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    CSDA
    2008
    122views more  CSDA 2008»
    Bayesian inference for nonlinear multivariate diffusion models observed with error
    13 years 5 months ago
    Bayesian inference for nonlinear multivariate diffusion models observed with error
    Download  www.mas.ncl.ac.uk
    Diffusion processes governed by stochastic differential equations (SDEs) are a well established tool for modelling continuous time data from a wide range of areas. Consequently, t...
    Andrew Golightly, Darren J. Wilkinson
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    JCB
    2006
    185views more  JCB 2006»
    Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
    13 years 4 months ago
    Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
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    As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
    Andrew Golightly, Darren J. Wilkinson
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    FLAIRS
    2003
    133views Artificial Intelligence» more  FLAIRS 2003»
    An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
    13 years 6 months ago
    An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
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    We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (D...
    Boris Brandherm
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