Bayesian deconvolution of cyclostationary processes based on point processes. - Christophe Andrieu; Patrick Duvaut; Arnaud Doucet (EUSIPCO, 1996)

Bayesian estimation and detection of shot noise processes using reversible jumps. - Christophe Andrieu; Patrick Duvaut (ICASSP, 1997)

Efficient stochastic maximum a posteriori estimation for harmonic signals. - Christophe Andrieu; Arnaud Doucet (EUSIPCO, 1998)

Robust Bayesian spectral analysis via MCMC sampling. - Arnaud Doucet; Christophe Andrieu (EUSIPCO, 1998)

Joint Bayesian detection and estimation of sinusoids embedded in noise. - Christophe Andrieu; Arnaud Doucet; Patrick Duvaut (ICASSP, 1998)

Iterative algorithms for optimal state estimation of jump Markov linear systems. - Arnaud Doucet; Christophe Andrieu (ICASSP, 1999)

Bayesian separation and recovery of convolutively mixed autoregressive sources. - Simon J. Godsill; Christophe Andrieu (ICASSP, 1999)

Robust Full Bayesian Methods for Neural Networks. - Christophe Andrieu; João F. G. de Freitas; Arnaud Doucet (NIPS, 1999)

A Bayesian approach to harmonic retrieval with clipped data. - Christophe Andrieu; Arnaud Doucet (Signal Process., 1999)

An improved method for uniform simulation of stable minimum phase real ARMA (p, q) processes. - Christophe Andrieu; Arnaud Doucet (IEEE Signal Process. Lett., 1999)

Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC. - Christophe Andrieu; Arnaud Doucet (IEEE Trans. Signal Process., 1999)

On-line non-stationary ICA using mixture models. - A. Ahmed; Christophe Andrieu; Arnaud Doucet; Peter J. W. Rayner (ICASSP, 2000)

Optimal estimation of non-stationary phase and amplitude processes. - Christophe Andrieu (ICASSP, 2000)

Sequential Monte Carlo for model selection and estimation of neural networks. - Christophe Andrieu; Nando de Freitas (ICASSP, 2000)

Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels. - Elena Punskaya; Christophe Andrieu; Arnaud Doucet; William J. Fitzgerald 001 (ICASSP, 2000)

Particle filtering for non-stationary speech modelling and enhancement. - Jaco Vermaak; Christophe Andrieu; Arnaud Doucet (INTERSPEECH, 2000)

Reversible Jump MCMC Simulated Annealing for Neural Networks. - Christophe Andrieu; Nando de Freitas; Arnaud Doucet (UAI, 2000)

On sequential Monte Carlo sampling methods for Bayesian filtering. - Arnaud Doucet; Simon J. Godsill; Christophe Andrieu (Stat. Comput., 2000)

Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models. - Christophe Andrieu; Arnaud Doucet (IEEE Trans. Inf. Theory, 2000)

Sequential Monte Carlo Methods for Optimal Filtering. - Christophe Andrieu; Arnaud Doucet; Elena Punskaya (Sequential Monte Carlo Methods in Practice, 2001)

Sequential Monte Carlo Methods for Neural Networks. - Nando de Freitas; Christophe Andrieu; Pedro A. d. F. R. Højen-Sørensen; M. Niranjan; A. Gee (Sequential Monte Carlo Methods in Practice, 2001)

Rao-Blackwellised Particle Filtering via Data Augmentation. - Christophe Andrieu; Nando de Freitas; Arnaud Doucet (NIPS, 2001)

Optimal Estimation of Amplitude and Phase Modulated Signals. - Christophe Andrieu; Arnaud Doucet (Monte Carlo Methods Appl., 2001)

Robust Full Bayesian Learning for Radial Basis Networks. - Christophe Andrieu; Nando de Freitas; Arnaud Doucet (Neural Comput., 2001)

Model selection by MCMC computation. - Christophe Andrieu; Petar M. Djuric; Arnaud Doucet (Signal Process., 2001)

Particle filtering for demodulation in fading channels with non-Gaussian additive noise. - Elena Punskaya; Christophe Andrieu; Arnaud Doucet; William J. Fitzgerald 001 (IEEE Trans. Commun., 2001)

Bayesian deconvolution of noisy filtered point processes. - Christophe Andrieu; Eric Barat; Arnaud Doucet (IEEE Trans. Signal Process., 2001)

Iterative algorithms for state estimation of jump Markov linear systems. - Arnaud Doucet; Christophe Andrieu (IEEE Trans. Signal Process., 2001)

A particle filtering technique for Jump Markov Systems. - Christophe Andrieu; Manuel Davy; Arnaud Doucet (EUSIPCO, 2002)

Efficient particle filtering for Jump Markov Systems. - Christophe Andrieu; Manuel Davy; Arnaud Doucet (ICASSP, 2002)

Bayesian deconvolution in nuclear spectroscopy using RJMCMC. - Sirajudeen Gulam Razul; William J. Fitzgerald 001; Christophe Andrieu (ICASSP, 2002)

Particle methods for Bayesian modeling and enhancement of speech signals. - Jaco Vermaak; Christophe Andrieu; Arnaud Doucet; Simon J. Godsill (IEEE Trans. Speech Audio Process., 2002)

Bayesian curve fitting using MCMC with applications to signal segmentation. - Elena Punskaya; Christophe Andrieu; Arnaud Doucet; William J. Fitzgerald 001 (IEEE Trans. Signal Process., 2002)

Monte Carlo Methods for Absolute Beginners. - Christophe Andrieu (Advanced Lectures on Machine Learning, 2003)

Online expectation-maximization type algorithms for parameter estimation in general state space models. - Christophe Andrieu; Arnaud Doucet (ICASSP (6), 2003)

Joint blind and semi-blind detection and channel estimation for space-time trellis coded systems. - Robert J. Piechocki; Christophe Andrieu; Andrew R. Nix; Joseph P. McGeehan (ICASSP (4), 2003)

An Introduction to MCMC for Machine Learning. - Christophe Andrieu; Nando de Freitas; Arnaud Doucet; Michael I. Jordan (Mach. Learn., 2003)

Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions. - Christophe Andrieu; Manuel Davy; Arnaud Doucet (IEEE Trans. Signal Process., 2003)

Joint space-time trellis code detection and MIMO equalisation via particle filtering. - Robert J. Piechocki; Christophe Andrieu; Cheran M. Vithanage; Joseph P. McGeehan (ISWCS, 2004)

Particle methods for change detection, system identification, and control. - Christophe Andrieu; Arnaud Doucet; Sumeetpal S. Singh; Vladislav Z. B. Tadic (Proc. IEEE, 2004)

On-Line Parameter Estimation in General State-Space Models. - Christophe Andrieu; Arnaud Doucet; Vladislav Z. B. Tadic (CDC/ECC, 2005)

Gaussian approximation based mixture reduction for near optimum detection in MIMO systems. - Yugang Jia; Christophe Andrieu; Robert J. Piechocki; Magnus Sandell (IEEE Commun. Lett., 2005)

Stability of Stochastic Approximation under Verifiable Conditions. - Christophe Andrieu; Eric Moulines; Pierre Priouret (SIAM J. Control. Optim., 2005)

PDA-BCJR algorithm for Factorial Hidden Markov Models with application to MIMO equalisation. - Robert J. Piechocki; Christophe Andrieu; Magnus Sandell; Joe McGeehan (EUSIPCO, 2006)

On the efficiency of adaptive MCMC algorithms. - Christophe Andrieu; Yves F. Atchadé (VALUETOOLS, 2006)

SGA based symbol detection and EM channel estimation for MIMO systems. - Yugang Jia; Christophe Andrieu; Robert J. Piechocki; Magnus Sandell (VTC Spring, 2006)

Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments. - Cheran M. Vithanage; Christophe Andrieu; Robert J. Piechocki; Justin P. Coon (VTC Spring, 2006)

Approximate inference in hidden Markov models using iterative active state selection. - Cheran M. Vithanage; Christophe Andrieu; Robert J. Piechocki (IEEE Signal Process. Lett., 2006)

Novel Reduced-State BCJR Algorithms. - Cheran M. Vithanage; Christophe Andrieu; Robert J. Piechocki (IEEE Trans. Commun., 2007)

Gaussian Approximation Based Mixture Reduction for Joint Channel Estimation and Detection in MIMO Systems. - Yugang Jia; Christophe Andrieu; Robert J. Piechocki; Magnus Sandell (IEEE Trans. Wirel. Commun., 2007)

A tutorial on adaptive MCMC. - Christophe Andrieu; Johannes Thoms (Stat. Comput., 2008)

Depth-First and Breadth-First Search Based Multilevel SGA Algorithms for Near Optimal Symbol Detection in MIMO Systems. - Yugang Jia; Christophe Andrieu; Robert J. Piechocki; Magnus Sandell (IEEE Trans. Wirel. Commun., 2008)

Tree-Based Reparameterization with Distributional Approximations for Reduced-Complexity MIMO Symbol Detection. - Cheran M. Vithanage; Josep Soler Garrido; Christophe Andrieu; Robert J. Piechocki (IEEE Trans. Wirel. Commun., 2008)

Bayesian sequential compressed sensing in sparse dynamical systems. - Dino Sejdinovic; Christophe Andrieu; Robert J. Piechocki (Allerton, 2010)

On Coherent versus Non-Coherent Spectrum Sensing in OFDM Systems. - Andreas Müller 008; Robert J. Piechocki; Justin P. Coon; Christophe Andrieu (VTC Fall, 2010)

Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes. - Richard Geoffrey Everitt; Christophe Andrieu; Manuel Davy (IEEE Trans. Signal Process., 2013)

Kernel Adaptive Metropolis-Hastings. - Dino Sejdinovic; Heiko Strathmann; Maria Lomeli Garcia; Christophe Andrieu; Arthur Gretton (ICML, 2014)

Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm. - Marcelo Pereyra; Nick Whiteley; Christophe Andrieu; Jean-Yves Tourneret (SSP, 2014)

Quantitative Convergence Rates for Subgeometric Markov Chains. - Christophe Andrieu; Gersende Fort; Matti Vihola (J. Appl. Probab., 2015)

Introduction to "Particle Metropolis-Hastings using gradient and Hessian information" by J. Dahlin, F. Lindsten, T. Schön. - Christophe Andrieu (Stat. Comput., 2015)

Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC. - Christophe Andrieu; Anthony Lee; Sam Power; Andi Q. Wang (CoRR, 2021)

On the unconventional Hug integrator. - Christophe Andrieu; J. M. Sanz-Serna (CoRR, 2025)