Search Results - "Doucet, A"

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  1. 1

    Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator by DOUCET, A., PITT, M. K., DELIGIANNIDIS, G., KOHN, R.

    Published in Biometrika (01-06-2015)
    “…When an unbiased estimator of the likelihood is used within a Metropolis—Hastings chain, it is necessary to trade off the number of Monte Carlo samples used to…”
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  2. 2

    Large-sample asymptotics of the pseudo-marginal method by Schmon, S M, Deligiannidis, G, Doucet, A, Pitt, M K

    Published in Biometrika (01-03-2021)
    “…Summary The pseudo-marginal algorithm is a variant of the Metropolis–Hastings algorithm which samples asymptotically from a probability distribution when it is…”
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  3. 3

    Lithological tomography with the correlated pseudo-marginal method by Friedli, L, Linde, N, Ginsbourger, D, Doucet, A

    Published in Geophysical journal international (01-02-2022)
    “…SUMMARY We consider lithological tomography in which the posterior distribution of (hydro)geological parameters of interest is inferred from geophysical data…”
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  4. 4

    A survey of convergence results on particle filtering methods for practitioners by Crisan, D., Doucet, A.

    Published in IEEE transactions on signal processing (01-03-2002)
    “…Optimal filtering problems are ubiquitous in signal processing and related fields. Except for a restricted class of models, the optimal filter does not admit a…”
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    Topological QSAR Modelling of Carboxamides Repellent Activity to Aedes Aegypti by Doucet, J. P., Doucet‐Panaye, A., Papa, E.

    Published in Molecular informatics (01-08-2019)
    “…Aedes aegypti vector control is of paramount importance owing to the damages induced by the various severe diseases that these insects may transmit, and the…”
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  6. 6

    Particle methods for change detection, system identification, and control by ANDRIEU, C., DOUCET, A., SINGH, S.S., TADIC, V.B.

    Published in Proceedings of the IEEE (01-03-2004)
    “…Particle methods are a set of powerful and versatile simulation-based methods to perform optimal state estimation in nonlinear non-Gaussian state-space models…”
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  7. 7

    Sodium-Potassium-Adenosinetriphosphatase-Dependent Sodium Transport in the Kidney: Hormonal Control by Feraille, Eric, Doucet, Alain

    Published in Physiological reviews (01-01-2001)
    “…Division of Nephrology, Geneva University Hospital, Geneva, Switzerland; and Centre National de la Recherche Scientifique Unité de Recherche Associée…”
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    Particle filters for state estimation of jump Markov linear systems by Doucet, A., Gordon, N.J., Krishnamurthy, V.

    Published in IEEE transactions on signal processing (01-03-2001)
    “…Jump Markov linear systems (JMLS) are linear systems whose parameters evolve with time according to a finite state Markov chain. In this paper, our aim is to…”
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  10. 10

    Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures by Caron, F., Davy, M., Doucet, A., Duflos, E., Vanheeghe, P.

    Published in IEEE transactions on signal processing (01-01-2008)
    “…Using Kalman techniques, it is possible to perform optimal estimation in linear Gaussian state-space models. Here, we address the case where the noise…”
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  11. 11

    Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions by Andrieu, C., Davy, M., Doucet, A.

    Published in IEEE transactions on signal processing (01-07-2003)
    “…We present an efficient particle filtering method to perform optimal estimation in jump Markov (nonlinear) systems (JMSs). Such processes consist of a mixture…”
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    A new class of soft MIMO demodulation algorithms by Bin Dong, Xiaodong Wang, Doucet, A.

    Published in IEEE transactions on signal processing (01-11-2003)
    “…We propose a new class of soft-input soft-output demodulation schemes for multiple-input multiple-output (MIMO) channels, based on the sequential Monte Carlo…”
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  14. 14

    Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC by Andrieu, C., Doucet, A.

    Published in IEEE transactions on signal processing (01-10-1999)
    “…In this paper, the problem of joint Bayesian model selection and parameter estimation for sinusoids in white Gaussian noise is addressed. An original Bayesian…”
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  15. 15

    Scombroid Poisoning with Concurrent Brevundimonas Septicemia: A Unique Case Report and Brief Literature Review by Eskind, Caroline C., Harris, Bryan D., Doucet, Cassandra A.

    “…Scombroid poisoning is a predominantly self-limited illness associated with ingestion of poorly handled fish. It is not frequently associated with bacteremia…”
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  16. 16

    Bayesian curve fitting using MCMC with applications to signal segmentation by Punskaya, E., Andrieu, C., Doucet, A., Fitzgerald, W.J.

    Published in IEEE transactions on signal processing (01-03-2002)
    “…We propose some Bayesian methods to address the problem of fitting a signal modeled by a sequence of piecewise constant linear (in the parameters) regression…”
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  17. 17

    Iterative algorithms for state estimation of jump Markov linear systems by Doucet, A., Andrieu, C.

    Published in IEEE transactions on signal processing (01-06-2001)
    “…Jump Markov linear systems (JMLSs) are linear systems whose parameters evolve with time according to a finite state Markov chain. Given a set of observations,…”
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  18. 18

    An Academic Portal for Higher Education Information Literacy: The e-COMS Initiative by Pinto, Maria, Doucet, A.-Vinciane

    Published in The Journal of academic librarianship (01-09-2007)
    “…A modern society needs a modern higher education systems with special emphasis on knowledge management, information technologies and lifelong learning…”
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    A Framework for Kernel-Based Multi-Category Classification by Hill, S. I., Doucet, A.

    “…A geometric framework for understanding multi-category classification is introduced, through which many existing 'all-together' algorithms can be understood…”
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