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Alexander Y. Shestopaloff et al.
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SENSORS (2017)
Augmentation schemes for particle MCMC
Paul Fearnhead et al.
STATISTICS AND COMPUTING (2016)
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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2016)
TMB: Automatic Differentiation and Laplace Approximation
Kasper Kristensen et al.
Journal of Statistical Software (2016)
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Marie Auger-Methe et al.
SCIENTIFIC REPORTS (2016)
On Particle Methods for Parameter Estimation in State-Space Models
Nikolas Kantas et al.
STATISTICAL SCIENCE (2015)
ADAPTIVE GIBBS SAMPLERS AND RELATED MCMC METHODS
Krzysztof Latuszynski et al.
ANNALS OF APPLIED PROBABILITY (2013)
MAXIMUM LIKELIHOOD ESTIMATION OF MARK-RECAPTURE-RECOVERY MODELS IN THE PRESENCE OF CONTINUOUS COVARIATES
Roland Langrock et al.
ANNALS OF APPLIED STATISTICS (2013)
A general discrete-time modeling framework for animal movement using multistate random walks
Brett T. McClintock et al.
ECOLOGICAL MONOGRAPHS (2012)
Deterministic resampling: Unbiased sampling to avoid sample impoverishment in particle filters
Tiancheng Li et al.
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A review of Bayesian state-space modelling of capture-recapture-recovery data
Ruth King
INTERFACE FOCUS (2012)
Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models
Roland Langrock et al.
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Adaptive Independent Metropolis-Hastings by Fast Estimation of Mixtures of Normals
Paolo Giordani et al.
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Approximate Methods for State-Space Models
Shinsuke Koyama et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2010)
Particle Markov chain Monte Carlo methods
Christophe Andrieu et al.
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Statistical inference for noisy nonlinear ecological dynamic systems
Simon N. Wood
NATURE (2010)
THE PSEUDO-MARGINAL APPROACH FOR EFFICIENT MONTE CARLO COMPUTATIONS
Christophe Andrieu et al.
ANNALS OF STATISTICS (2009)
State-space models of individual animal movement
Toby A. Patterson et al.
TRENDS IN ECOLOGY & EVOLUTION (2008)
State space models with a common Stochastic variance
SJ Koopman et al.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2004)
State-space models for the dynamics of wild animal populations
ST Buckland et al.
ECOLOGICAL MODELLING (2004)
Estimating a state-space model from point process observations
AC Smith et al.
NEURAL COMPUTATION (2003)