C. Andrieu

C. Andrieu, R. Piechocki, J. McGeehan, 2003, 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689).

SGA based symbol detection and EM channel estimation for MIMO systems

Christophe Andrieu, Magnus Sandell, Robert J. Piechocki, 2006, 2006 IEEE 63rd Vehicular Technology Conference.

Efficient Bayesian Inference for Switching State-Space Models using Discrete Particle Markov Chain Monte Carlo Methods

A. Doucet, C. Andrieu, N. Whiteley, 2010, 1011.2437.

On sequential sampling Monte Carlo sampling methods for Bayesian filtering

A. Doucet, C. Andrieu, S. Godsill, 2000 .

Stability of Stochastic Approximation under Verifiable Conditions

Eric Moulines, Pierre Priouret, Christophe Andrieu, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

On-Line Parameter Estimation in General State-Space Models

A. Doucet, V. Tadić, C. Andrieu, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

A tutorial on adaptive MCMC

Christophe Andrieu, Johannes Thoms, C. Andrieu, 2008, Stat. Comput..

On the efficiency of adaptive MCMC algorithms

C. Andrieu, Y. Atchadé, 2007 .

Iterative algorithms for state estimation of jump Markov linear systems

Christophe Andrieu, Arnaud Doucet, A. Doucet, 2001, IEEE Trans. Signal Process..

Sequential Bayesian Estimation And Model Selection Applied To Neural Networks

Christophe Andrieu, Arnaud Doucet, Joao F. G. De Freitas, 1999 .

Sampling normalizing constants in high dimensions using inhomogeneous diffusions

C. Andrieu, N. Whiteley, J. Ridgway, 2016, 1612.07583.

Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms

C. Andrieu, M. Vihola, 2012, 1210.1484.

Bayesian Computational Methods for Inference in Multiple Change-points Models

A. Doucet, C. Andrieu, N. Whiteley, 2011 .

New Results - Interacting Markov chain Monte Carlo methods

Christophe Andrieu, Pierre Del Moral, Arnaud Doucet, 2008 .

Scalable Monte Carlo inference for state-space models

Christophe Andrieu, Arnaud Doucet, Sinan Yildirim, 2018, 1809.02527.

Robust Full Bayesian Learning for Neural Networks

Christophe Andrieu, Arnaud Doucet, Joao F. G. De Freitas, 1999 .

A Bayesian approach to harmonic retrieval with clipped data

Christophe Andrieu, Arnaud Doucet, A. Doucet, 1999, Signal Process..

A note on one of the Markov chain Monte Carlo novice's questions

Christophe Andrieu, C. Andrieu, 2015, 1504.03467.

Online expectation-maximization type algorithms for parameter estimation in general state space models

Christophe Andrieu, Arnaud Doucet, A. Doucet, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Stochastic algorithms for marginal MAP retrieval of sinusoids in non-Gaussian noise

A. Doucet, C. Andrieu, 2000, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496).

Reversible Jump Markov Chain Monte Carlo Strategies for Bayesian Model Selection in Autoregressive Processes

A. Doucet, C. Andrieu, S. Godsill, 2004, Journal of Time Series Analysis.

Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario

C. Andrieu, Samuel Livingstone, 2019, 1906.06197.

On-line Bayesian modelling and enhancement of speech signals

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2000 .

Particle Markov Chain Monte Carlo for Efficient Numerical Simulation

Christophe Andrieu, Arnaud Doucet, Roman Holenstein, 2009 .

Bayesian Inference with Big Data : A Snapshot from a Workshop

Jakub K. Kominiarczuk, Y. Teh, M. Welling, 2014 .

Motor unit number estimation using reversible jump Markov chain Monte Carlo methods - Discussion paper

Christophe Andrieu, Daniel W. Stashuk, Gavin J. Gibson, 2007 .

4th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2003 (SPAWC 2003)

Christophe Andrieu, Jp McGeehan, Robert J. Piechocki, 2003, SPAWC 2003.

Bayesian curve fitting using MCMC with applications to signal segmentation

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2002, IEEE Trans. Signal Process..

Bayesian Blind and Semi-Blind Equalization of Channels with Markov Inputs

Christophe Andrieu, Arnaud Doucet, R. Urien, 2001 .

Bayesian blind marginal separation of convolutively mixed discrete sources

A. Doucet, C. Andrieu, S. Godsill, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Annealed Importance Sampling Reversible Jump MCMC Algorithms

Christophe Andrieu, Georgios Karagiannis, C. Andrieu, 2013 .

Discussion on the paper by Brooks, Giudici and Roberts

Petros Dellaportas, Christophe Andrieu, Arnaud Doucet, 2003 .

NON-LINEAR MARKOV CHAIN MONTE CARLO

P. Moral, A. Doucet, C. Andrieu, 2007 .

On nonlinear Markov chain Monte Carlo

P. Moral, A. Doucet, C. Andrieu, 2011, Bernoulli.

Blind marginal maximum a posteriori sequence estimation for finite impulse response channels

A. Doucet, C. Andrieu, 1998, Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing (Cat. No.98TH8381).

Adaptive MAP multi-user detection for fading CDMA channels

A. Doucet, C. Andrieu, A. Touzni, 2000, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496).

Particle filtering for multiuser detection in fading CDMA channels

A. Doucet, C. Andrieu, E. Punskaya, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

European Signal Processing Conference

Christophe Andrieu, Arnaud Doucet, Manuel Davy, 2015 .

An introduction to the theory and applications of simulation based computational methods in Bayesian

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1998 .

Simulation-based computational methods for Bayesian signal processing

Patrick Duvaut, Simon J. Godsill, Christophe Andrieu, 1998 .

Bayesian model selection and parameter estimation of nuclear emission spectra using RJMCMC

C. Andrieu, Wj Fitzgerald, S. Gulam Razul, 2003 .

Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees

Eric Moulines, Christophe Andrieu, Alain Durmus, 2020, 2012.15550.

A general perspective on the Metropolis-Hastings kernel

Christophe Andrieu, Anthony Lee, C. Andrieu, 2020, 2012.14881.

Dicussion on the meeting on ‘Statistical approaches to inverse problems’

Simon J. Godsill, Dan Cornford, Eric Moulines, 2004 .

Particle Markov Chain Monte Carlo for Multiple Change-point Problems

A. Doucet, C. Andrieu, N. Whiteley, 2009 .

A Note on Convergence of the Equi-Energy Sampler

Christophe Andrieu, Arnaud Doucet, Ajay Jasra, 2007, 0711.0164.

Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers

Christophe Andrieu, Matti Vihola, Anthony Lee, 2013, 1312.6432.

Semi-blind identification of wideband MIMO channels via stochastic sampling

C. Andrieu, R. Piechocki, J. Mcgeehan, 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

On nonlinear Markov chain Monte Carlo via Self-interacting approximations.

P. Moral, A. Doucet, C. Andrieu, 2011 .

Metropolis-Hastings with Averaged Acceptance Ratios

A. Doucet, C. Andrieu, N. Chopin, 2020, 2101.01253.

One-line Parameter Estimation in General State-Space Models using a Pseudo-Likelihood Approach

A. Doucet, V. Tadić, C. Andrieu, 2012 .

PARTICLE FILTERS FOR CONTINUOUS-TIME JUMP MODELS IN TRACKING APPLICATIONS

Christophe Andrieu, C. Andrieu, 2007 .

Fifth International Conference on 3G Mobile Communication Technologies, London

Christophe Andrieu, Magnus Sandell, Robert J. Piechocki, 2004 .

Hypocoercivity of piecewise deterministic Markov process-Monte Carlo

Christophe Andrieu, Alain Durmus, Nikolas Nusken, 2018, The Annals of Applied Probability.

Bayesian model selection of autoregressive processes

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2000 .

Bayesian Computational Approaches to Model Selection

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2000 .

European Signal Processing Conference (EUSIPCO), Florence, Italy

Christophe Andrieu, Jp McGeehan, Magnus Sandell, 2006 .

Theoretical and Methodological Aspects of Markov Chain Monte Carlo Computations with Noisy Likelihoods

Christophe Andrieu, Matti Vihola, Anthony Lee, 2018, Handbook of Approximate Bayesian Computation.

Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC

C. Andrieu, Anthony Lee, Andi Q. Wang, 2021, The Annals of Statistics.

An introduction to the theory and applications of simulation based computational methods in Bayesian signal processing

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1998 .

Convergence of the equi-energy sampler

Christophe Andrieu, Arnaud Doucet, Pierre Del Moral, 2007 .

Poincar\'e inequalities for Markov chains: a meeting with Cheeger, Lyapunov and Metropolis

C. Andrieu, Anthony Lee, Andi Q. Wang, 2022, 2208.05239.

Joint channel tracking and symbol detection in MIMO systems via multiple model methods

C. Andrieu, Y. Jia, M. Sandell, 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

Theoretical and methodological aspects of MCMC computations with noisy likelihoods

Christophe Andrieu, Matti Vihola, Anthony Lee, 2018 .

Introduction to “Particle Metropolis-Hastings using gradient and Hessian information” by J. Dahlin, F. Lindsten, T. Schön

Christophe Andrieu, C. Andrieu, 2015, Stat. Comput..

31st International Conference on Machine Learning, ICML 2014

Christophe Andrieu, Arthur Gretton, Dino Sejdinovic, 2014, International Conference on Machine Learning.

Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles

C. Andrieu, Anthony Lee, Andi Q. Wang, 2022, 2211.08959.

Introduction to “Particle Metropolis-Hastings using gradient and Hessian information” by J. Dahlin, F. Lindsten, T. Schön

C. Andrieu, 2014, Statistics and Computing.

Markovian stochastic approximation with expanding projections

C. Andrieu, M. Vihola, 2011, 1111.5421.

Quantitative Convergence Rates for Subgeometric Markov Chains

C. Andrieu, M. Vihola, G. Fort, 2013, Journal of Applied Probability.

Computational Advances for and from Bayesian Analysis

A. Doucet, C. Robert, C. Andrieu, 2004 .

On random- and systematic-scan samplers

C. Andrieu, 2016 .

Release of fission tritium through Zircaloy-4 fuel cladding tubes

C. Andrieu, S. Ravel, G. Ducros, 2005 .

Particle methods for Bayesian modeling and enhancement of speech signals

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2002, IEEE Trans. Speech Audio Process..

Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models

Christophe Andrieu, Arnaud Doucet, A. Doucet, 2000, IEEE Trans. Inf. Theory.

Particle methods for change detection, system identification, and control

Christophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, 2004, Proceedings of the IEEE.

Particle filtering for demodulation in fading channels with non-Gaussian additive noise

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2001, IEEE Trans. Commun..

Hypocoercivity of piecewise deterministic Markov process-Monte Carlo

Christophe Andrieu, Alain Durmus, Nikolas Nusken, 2018, The Annals of Applied Probability.

Aluminium alloy corrosion detection by magnetic measurements

C. Andrieu, F. Dalard, J. Rameau, 1998 .

Model criticism based on likelihood-free inference, with an application to protein network evolution

Christophe Andrieu, Carsten Wiuf, Sylvia Richardson, 2009, Proceedings of the National Academy of Sciences.

Reply to Robert et al.: Model criticism informs model choice and model comparison

Christophe Andrieu, Carsten Wiuf, Sylvia Richardson, 2009, Proceedings of the National Academy of Sciences.

Multilevel and Quasi Monte Carlo Methods for the Calculation of the Expected Value of Partial Perfect Information

C. Andrieu, M. Giles, N. Welton, 2021, medRxiv.

Depth-First and Breadth-First Search Based Multilevel SGA Algorithms for Near Optimal Symbol Detection in MIMO Systems

Christophe Andrieu, Magnus Sandell, Robert J. Piechocki, 2008, IEEE Transactions on Wireless Communications.

Novel Reduced-State BCJR Algorithms

Christophe Andrieu, Cheran M. Vithanage, Robert J. Piechocki, 2007, IEEE Transactions on Communications.

On Coherent versus Non-Coherent Spectrum Sensing in OFDM Systems

Justin P. Coon, Christophe Andrieu, Robert J. Piechocki, 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

PDA multiple model approach for joint channel tracking and symbol detection in MIMO systems

Christophe Andrieu, Magnus Sandell, Robert J. Piechocki, 2006 .

Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions

Christophe Andrieu, Arnaud Doucet, Manuel Davy, 2003, IEEE Trans. Signal Process..

Optimal Estimation of Amplitude and Phase Modulated Signals

Christophe Andrieu, Arnaud Doucet, A. Doucet, 2001, Monte Carlo Methods Appl..

Model selection by MCMC computation

Petar M. Djuric, Christophe Andrieu, Arnaud Doucet, 2001, Signal Process..

Bayesian segmentation of piecewise constant autoregressive processes using MCMC methods

O Punska, C Andrieu, Arnaud Doucet, 1999 .

Motivation and Basic Principles of the Monte Carlo Method

C. Andrieu, 2004 .

Establishing some order amongst exact approximations of MCMCs

Christophe Andrieu, Matti Vihola, C. Andrieu, 2014, 1404.6909.

Parti le Methods for Bayesian Modelling and Enhan ementof

C. Andrieu, A. Dou, 2000 .

Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm

Nick Whiteley, Jean-Yves Tourneret, Christophe Andrieu, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Bayesian filtering for hidden Markov models via Monte Carlo methods

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Bayesian deconvolution in nuclear spectroscopy using RJMCMC

Christophe Andrieu, Sirajudeen Gulam Razul, William J. Fitzgerald, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Quantitative Convergence Rates for Subgeometric Markov Chains

Gersende Fort, Christophe Andrieu, Matti Vihola, 2013, J. Appl. Probab..

Explicit control of subgeometric ergodicity

Gersende Fort, Christophe Andrieu, C. Andrieu, 2005 .

On the utility of Metropolis-Hastings with asymmetric acceptance ratio

Christophe Andrieu, Arnaud Doucet, Sinan Yildirim, 2018, 1803.09527.

Optimal estimation of non-stationary phase and amplitude processes

Christophe Andrieu, C. Andrieu, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A Particle Filter for Model Based Audio Source Separation

C. Andrieu, S. J. Godsill, C. Andrieu, 2000 .

Sequential Monte Carlo for model selection and estimation of neural networks

Nando de Freitas, Christophe Andrieu, C. Andrieu, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Peskun–Tierney ordering for Markovian Monte Carlo: Beyond the reversible scenario

C. Andrieu, Samuel Livingstone, 2021, The Annals of Statistics.

An improved method for uniform simulation of stable minimum phase real ARMA (p,q) processes

Christophe Andrieu, Arnaud Doucet, A. Doucet, 1999, IEEE Signal Processing Letters.

NON-LINEAR MARKOV CHAIN MONTE

P. Moral, A. Doucet, C. Andrieu, 2007 .

Joint space-time trellis code detection and MIMO equalisation via particle filtering

C. Andrieu, J.P. McGeehan, R.J. Piechocki, 2004, 1st International Symposium onWireless Communication Systems, 2004..

E cient Bayesian Inference for Switching State-Space Models using Particle Markov Chain Monte Carlo Methods

C. Andrieu, Nick. Whiteley, C. Andrieu, 2010 .

Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes

Christophe Andrieu, Richard G. Everitt, Manuel Davy, 2013, IEEE Transactions on Signal Processing.

Tree-Based Reparameterization for Symbol Detection in Spatially Multiplexed MIMO Systems in Frequency Flat Fading

C. Andrieu, C. Andrieu, R. Piechocki, 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

An Introduction to MCMC for Machine Learning

Nando de Freitas, Michael I. Jordan, A. Doucet, 2004, Machine Learning.

An Introduction to MCMC for Machine Learning

Nando de Freitas, Michael I. Jordan, A. Doucet, 2004, Machine Learning.

Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Bayesian sequential compressed sensing in sparse dynamical systems

Christophe Andrieu, Dino Sejdinovic, Robert Piechocki, 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Gaussian Approximation Based Mixture Reduction for Joint Channel Estimation and Detection in MIMO Systems

C. Andrieu, M. Sandell, R. Piechocki, 2007, IEEE Transactions on Wireless Communications.

Subgeometric hypocoercivity for piecewise-deterministic Markov process Monte Carlo methods

C. Andrieu, Andi Q. Wang, P. Dobson, 2020, Electronic Journal of Probability.

Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles

C. Andrieu, Anthony Lee, Andi Q. Wang, 2022, 2211.08959.

Establishing some order amongst exact approximations of MCMCs

C. Andrieu, M. Vihola, 2014, 1404.6909.

Gaussian approximation based mixture reduction for near optimum detection in MIMO systems

Christophe Andrieu, Magnus Sandell, Robert J. Piechocki, 2005, IEEE Communications Letters.

An Introduction to Monte Carlo Methods for Bayesian Data Analysis

Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald, 2001 .