Browse State-of-the-Art › State Space Models › Papers, page 10
State Space Models
Papers archive 2025-07-28
archive papers tagged: 923 · with a code link: 394 · where Syntology ran a sample: 153 (135 with a run with no instrument failure, 18 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (153 of 923 tagged: 135 with a run with no instrument failure, 18 where every run was a failure of Syntology's instrument)
Page 10 of 10: papers 901 to 923 of 923, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
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A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting31 May 2016 0 repositories listed
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Preemptive Investment under Uncertainty31 May 2016 0 repositories listed
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Gaussian variational approximation with sparse precision matrices18 May 2016 0 repositories listed
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State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems29 Mar 2016 0 repositories listed
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Learning to Filter with Predictive State Inference Machines30 Dec 2015 0 repositories listed
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Computationally Efficient Bayesian Learning of Gaussian Process State Space Models7 Jun 2015 0 repositories listed
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Sequential Monte Carlo Methods for System Identification20 Mar 2015 0 repositories listed
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Sublinear-Time Approximate MCMC Transitions for Probabilistic Programs6 Nov 2014 0 repositories listed
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Identification of jump Markov linear models using particle filters25 Sep 2014 0 repositories listed
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Variational Gaussian Process State-Space Models18 Jun 2014 0 repositories listed
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Particle Metropolis adjusted Langevin algorithms for state space models4 Feb 2014 0 repositories listed
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Particle Gibbs with Ancestor Sampling3 Jan 2014 0 repositories listed
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Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM17 Dec 2013 0 repositories listed
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Approximate inference in latent Gaussian-Markov models from continuous time observations1 Dec 2013 0 repositories listed
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Particle filter-based Gaussian process optimisation for parameter inference4 Nov 2013 0 repositories listed
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Particle Metropolis-Hastings using gradient and Hessian information4 Nov 2013 0 repositories listed
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On-line Bayesian parameter estimation in general non-linear state-space models: A tutorial and new results12 Jul 2013 0 repositories listed
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Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC12 Jun 2013 0 repositories listed
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Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost4 Jun 2013 0 repositories listed
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Nonparametric risk bounds for time-series forecasting3 Dec 2012 0 repositories listed
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Ancestor Sampling for Particle Gibbs1 Dec 2012 0 repositories listed
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Using Bayesian Dynamical Systems for Motion Template Libraries1 Dec 2008 0 repositories listed
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Use of extended Kalman filtering in detecting fouling in heat exchangers17 Jan 2007 0 repositories listed