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Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models

EURASIP journal on advances in signal processing, 2017-07, Vol.2017 (1), p.1-15, Article 54

2017

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Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models

IEEE transactions on information theory, 2017-08, Vol.63 (8), p.4758-4777

2017

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End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort

Energy and buildings, 2021-11, Vol.250, p.111218, Article 111218

2021

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Identifiability of discrete input–output hidden Markov models with external signals

Statistics and computing, 2024-02, Vol.34 (1), Article 54

2024

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Backward Importance Sampling for Online Estimation of State Space Models

Journal of computational and graphical statistics, 2023-10, Vol.32 (4), p.1447-1460

2023

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A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection

IEEE journal of selected topics in signal processing, 2016-03, Vol.10 (2), p.366-375

2016

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Nouvel outil de modélisation des co-trajectoires des délivrances d’antihypertenseurs; résultats de la cohorte Constances appariée au SNDS

Revue d'épidémiologie et de santé publique, 2021-06, Vol.69, p.S86-S87

2021

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Stochastic differential equation based on a multimodal potential to model movement data in ecology

Journal of the Royal Statistical Society Series C: Applied Statistics, 2018-04, Vol.67 (3), p.599-619

2018

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Online sequential Monte Carlo smoother for partially observed diffusion processes

EURASIP journal on advances in signal processing, 2018-02, Vol.2018 (1), p.1-14, Article 9

2018

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Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm

ACM transactions on modeling and computer simulation, 2013-01, Vol.23 (1), p.1-22

2013

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Simultaneous localization and mapping in wireless sensor networks

Signal processing, 2014-08, Vol.101, p.192-203

2014

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Additive smoothing error in backward variational inference for general state-space models

Journal of machine learning research, 2024, Vol.25 (28)

2024

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Identifiability of discrete Input-output hidden Markov models with external signals

Statistics and computing, 2023-12, Vol.34 (54)

2023

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Learning the distribution of latent variables in paired comparison models with round-robin scheduling

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2020-11, Vol.26 (4)

2020

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Deconvolution with unknown noise distribution is possible for multivariate signals

The Annals of statistics, 2022-02, Vol.50 (1), p.303

2022

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Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space

Journal of machine learning research, 2020-01, Vol.21 (115), p.1-40

2020

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Impact of the Ileal Microbiota on Surgical Site Infections in Crohn’s Disease: A Nationwide Prospective Cohort

Journal of Crohn's and colitis, 2022-08, Vol.16 (8), p.1211-1221

2022

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Stochastic differential equation based on a multimodal potential to model movement data in ecology

Journal of the Royal Statistical Society: Series C Applied Statistics, 2018-04, Vol.67 (3), p.599-619

2018

Volltextzugriff (PDF)

Online sequential Monte Carlo smoother for partially observed diffusion processes

EURASIP journal on advances in signal processing, 2018-02, Vol.2018 (1)

2018

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Online Expectation Maximization based algorithms for inference in Hidden Markov Models

Electronic journal of statistics, 2013-01, Vol.7 (none)

2013

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Non-asymptotic deviation inequalities for smoothed additive functionals in non-linear state-space models

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2013-12, Vol.19 (5B), p.2222-2249

2013

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Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability

Journal of applied probability, 2017-12, Vol.54 (4), p.1233-1260

2017

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Optimal scaling of the Random Walk Metropolis algorithm under Lp mean differentiability

Journal of applied probability, 2017, Vol.54 (4), p.1233-1260

2017

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Online EM for indoor simultaneous localization and mapping

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.6431-6435

2013

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Statistical inference for oscillation processes

Statistics (Berlin, DDR), 2017-01, Vol.51 (1), p.61-83

2017

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Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models

Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models

End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort

Identifiability of discrete input–output hidden Markov models with external signals

Backward Importance Sampling for Online Estimation of State Space Models

A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection

Nouvel outil de modélisation des co-trajectoires des délivrances d’antihypertenseurs; résultats de la cohorte Constances appariée au SNDS

Stochastic differential equation based on a multimodal potential to model movement data in ecology

Online sequential Monte Carlo smoother for partially observed diffusion processes

Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm

Simultaneous localization and mapping in wireless sensor networks

Additive smoothing error in backward variational inference for general state-space models

Identifiability of discrete Input-output hidden Markov models with external signals

Learning the distribution of latent variables in paired comparison models with round-robin scheduling

Deconvolution with unknown noise distribution is possible for multivariate signals

Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space

Impact of the Ileal Microbiota on Surgical Site Infections in Crohn’s Disease: A Nationwide Prospective Cohort

Stochastic differential equation based on a multimodal potential to model movement data in ecology

Online sequential Monte Carlo smoother for partially observed diffusion processes

Online Expectation Maximization based algorithms for inference in Hidden Markov Models

Non-asymptotic deviation inequalities for smoothed additive functionals in non-linear state-space models

Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability

Optimal scaling of the Random Walk Metropolis algorithm under Lp mean differentiability

Online EM for indoor simultaneous localization and mapping

Statistical inference for oscillation processes

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