Pete Bunch

According to our database, Pete Bunch authored at least 13 papers between 2010 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2016

Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo.

Pete Bunch, James K. Murphy, Simon J. Godsill

IEEE Trans. Signal Process., 2016

Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models.

Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön, Simon J. Godsill

IEEE J. Sel. Top. Signal Process., 2016

Sparse structure inference for group and network tracking.

James K. Murphy, Emre Özkan, Pete Bunch, Simon J. Godsill

Proceedings of the 19th International Conference on Information Fusion, 2016

Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints.

Pete Bunch, James K. Murphy, Simon J. Godsill

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Particle Gibbs with refreshed backward simulation.

Pete Bunch, Fredrik Lindsten, Sumeetpal S. Singh

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks.

Bashar I. Ahmad, Patrick M. Langdon, Pete Bunch, Simon J. Godsill

Proceedings of the Universal Access in Human-Computer Interaction. Aging and Assistive Environments, 2014

2013

Particle Smoothing Algorithms for Variable Rate Models.

Pete Bunch, Simon J. Godsill

IEEE Trans. Signal Process., 2013

Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo.

Pete Bunch, Simon J. Godsill

IEEE Trans. Signal Process., 2013

Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models.

Fredrik Lindsten, Pete Bunch, Simon J. Godsill, Thomas B. Schön

Proceedings of the IEEE International Conference on Acoustics, 2013

Particle filtering with progressive Gaussian approximations to the optimal importance density.

Pete Bunch, Simon J. Godsill

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Dynamical models for tracking with the variable rate particle filter.

Pete Bunch, Simon J. Godsill

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Point process MCMC for sequential music transcription.

Pete Bunch, Simon J. Godsill

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC.

Pete Bunch, Simon J. Godsill

Proceedings of the Exploring Music Contents - 7th International Symposium, 2010