Pete Bunch

13 papers C 3Misc 3Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2016 C conf
Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints.
FUSION
Pete Bunch, James K. Murphy, Simon J. Godsill
2016 J jnl
Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo.
IEEE Trans. Signal Process.
Pete Bunch, James K. Murphy, Simon J. Godsill
2016 J jnl
Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models.
IEEE J. Sel. Top. Signal Process.
Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön, Simon J. Godsill
2016 C conf
Sparse structure inference for group and network tracking.
FUSION
James K. Murphy, Emre Özkan, Pete Bunch, Simon J. Godsill
2015 Misc conf
Particle Gibbs with refreshed backward simulation.
ICASSP
Pete Bunch, Fredrik Lindsten, Sumeetpal S. Singh
2014 — conf
Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks.
HCI (6)
Bashar I. Ahmad, Patrick M. Langdon, Pete Bunch, Simon J. Godsill
2013 J jnl
Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo.
IEEE Trans. Signal Process.
Pete Bunch, Simon J. Godsill
2013 J jnl
Particle Smoothing Algorithms for Variable Rate Models.
IEEE Trans. Signal Process.
Pete Bunch, Simon J. Godsill
2013 — conf
Particle filtering with progressive Gaussian approximations to the optimal importance density.
CAMSAP
Pete Bunch, Simon J. Godsill
2013 Misc conf
Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models.
ICASSP
Fredrik Lindsten, Pete Bunch, Simon J. Godsill, Thomas B. Schön
2012 C conf
Dynamical models for tracking with the variable rate particle filter.
FUSION
Pete Bunch, Simon J. Godsill
2011 Misc conf
Point process MCMC for sequential music transcription.
ICASSP
Pete Bunch, Simon J. Godsill
2010 — conf
Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC.
CMMR
Pete Bunch, Simon J. Godsill