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2010 – 2019
- 2016
[j4]Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön
, Simon J. Godsill:
Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models. IEEE J. Sel. Top. Signal Process. 10(2): 353-365 (2016)- [j3]Pete Bunch, James K. Murphy, Simon J. Godsill:
Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo. IEEE Trans. Signal Process. 64(16): 4100-4112 (2016) - [c9]Pete Bunch, James K. Murphy, Simon J. Godsill:
Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints. FUSION 2016: 597-605 - [c8]James K. Murphy, Emre Özkan, Pete Bunch, Simon J. Godsill:
Sparse structure inference for group and network tracking. FUSION 2016: 1208-1214 - 2015
- [c7]Pete Bunch, Fredrik Lindsten, Sumeetpal S. Singh:
Particle Gibbs with refreshed backward simulation. ICASSP 2015: 4115-4119 - 2014
- [c6]Bashar I. Ahmad, Patrick M. Langdon, Pete Bunch, Simon J. Godsill:
Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks. HCI (6) 2014: 427-438 - 2013
- [j2]Pete Bunch, Simon J. Godsill:
Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo. IEEE Trans. Signal Process. 61(4): 956-963 (2013) - [j1]Pete Bunch, Simon J. Godsill:
Particle Smoothing Algorithms for Variable Rate Models. IEEE Trans. Signal Process. 61(7): 1663-1675 (2013) - [c5]Pete Bunch, Simon J. Godsill:
Particle filtering with progressive Gaussian approximations to the optimal importance density. CAMSAP 2013: 360-363 - [c4]Fredrik Lindsten, Pete Bunch, Simon J. Godsill, Thomas B. Schön:
Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models. ICASSP 2013: 6288-6292 - 2012
- [c3]Pete Bunch, Simon J. Godsill:
Dynamical models for tracking with the variable rate particle filter. FUSION 2012: 1769-1775 - 2011
- [c2]Pete Bunch, Simon J. Godsill:
Point process MCMC for sequential music transcription. ICASSP 2011: 5936-5939 - 2010
- [c1]Pete Bunch, Simon J. Godsill:
Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC. CMMR 2010: 76-83
Coauthor Index
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