Christophe Andrieu

Christophe Andrieu's AcademicInfluence.com Rankings

Christophe Andrieu

Mathematics

#7416

World Rank

#10086

Historical Rank

Statistics

#852

World Rank

#944

Historical Rank

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Mathematics

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Christophe Andrieu's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

On sequential Monte Carlo sampling methods for Bayesian filtering (2000) (4767)
An Introduction to MCMC for Machine Learning (2004) (2502)
Particle Markov chain Monte Carlo methods (2010) (1869)
A tutorial on adaptive MCMC (2008) (877)
The pseudo-marginal approach for efficient Monte Carlo computations (2009) (846)
On sequential simulation-based methods for Bayesian filtering (1998) (797)
Particle methods for change detection, system identification, and control (2004) (338)
On the ergodicity properties of some adaptive MCMC algorithms (2006) (309)
Particle filtering for partially observed Gaussian state space models (2002) (264)
Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC (1999) (256)
Stability of Stochastic Approximation under Verifiable Conditions (2005) (233)
Bayesian curve fitting using MCMC with applications to signal segmentation (2002) (194)
Particle methods for Bayesian modeling and enhancement of speech signals (2002) (180)
Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions (2003) (175)
Model criticism based on likelihood-free inference, with an application to protein network evolution (2009) (171)
Particle filtering for multi-target tracking and sensor management (2002) (153)
Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms (2012) (127)
Sequential MCMC for Bayesian model selection (1999) (127)
Iterative algorithms for state estimation of jump Markov linear systems (2001) (120)
On-Line Parameter Estimation in General State-Space Models (2005) (106)
Controlled MCMC for Optimal Sampling (2001) (104)
Model selection by MCMC computation (2001) (103)
Robust Full Bayesian Learning for Radial Basis Networks (2001) (95)
Sequential Monte Carlo Methods for Optimal Filtering (2001) (79)
Reversible Jump Markov Chain Monte Carlo Strategies for Bayesian Model Selection in Autoregressive Processes (2004) (76)
Online expectation-maximization type algorithms for parameter estimation in general state space models (2003) (75)
Efficient Bayesian Inference for Switching State-Space Models using Discrete Particle Markov Chain Monte Carlo Methods (2010) (74)
Bayesian model selection and parameter estimation of nuclear emission spectra using RJMCMC (2003) (73)
Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers (2013) (70)
Computational Advances for and from Bayesian Analysis (2004) (68)
Efficient particle filtering for Jump Markov Systems (2002) (68)
Establishing some order amongst exact approximations of MCMCs (2014) (61)
On the efficiency of adaptive MCMC algorithms (2006) (58)
Gaussian approximation based mixture reduction for near optimum detection in MIMO systems (2005) (53)
Hypocoercivity of piecewise deterministic Markov process-Monte Carlo (2018) (46)
Reversible Jump MCMC Simulated Annealing for Neural Networks (2000) (44)
Annealed Importance Sampling Reversible Jump MCMC Algorithms (2013) (44)
Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models (2000) (43)
Sequential Monte Carlo Methods for Neural Networks (2001) (42)
Kernel Adaptive Metropolis-Hastings (2013) (41)
Probabilistic data association for symbol detection in MIMO systems (2006) (41)
Bayesian deconvolution of noisy filtered point processes (2001) (37)
On sequential sampling Monte Carlo sampling methods for Bayesian filtering (2000) (36)
Bayesian sequential compressed sensing in sparse dynamical systems (2010) (36)
Sequential Bayesian Estimation And Model Selection Applied To Neural Networks (1999) (33)
Particle Markov Chain Monte Carlo for Efficient Numerical Simulation (2009) (33)
A Particle Filter for Model Based Audio Source Separation (2000) (33)
Rao-Blackwellised Particle Filtering via Data Augmentation (2001) (30)
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario (2019) (30)
Robust Full Bayesian Learning for Neural Networks (1999) (28)
Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm (2014) (27)
Convergence of simulated annealing using Foster-Lyapunov criteria (2001) (26)
European Signal Processing Conference (2015) (25)
Particle filtering for multiuser detection in fading CDMA channels (2001) (25)
On nonlinear Markov chain Monte Carlo (2011) (21)
Particle filtering for demodulation in fading channels with non-Gaussian additive noise (2001) (21)
NON-LINEAR MARKOV CHAIN MONTE CARLO (2007) (20)
Depth-First and Breadth-First Search Based Multilevel SGA Algorithms for Near Optimal Symbol Detection in MIMO Systems (2008) (20)
Markovian stochastic approximation with expanding projections (2011) (20)
Improved auxiliary particle filtering: applications to time-varying spectral analysis (2001) (19)
Joint Bayesian detection and estimation of noisy sinusoids via reversible jump MCMC (1998) (19)
Quantitative Convergence Rates for Subgeometric Markov Chains (2013) (18)
On the utility of Metropolis-Hastings with asymmetric acceptance ratio (2018) (18)
Dicussion on the meeting on ‘Statistical approaches to inverse problems’ (2004) (18)
On random- and systematic-scan samplers (2016) (18)
Robust Full Bayesian Methods for Neural Networks (1999) (17)
A Note on Convergence of the Equi-Energy Sampler (2007) (17)
On nonlinear Markov chain Monte Carlo via Self-interacting approximations. (2011) (16)
Bayesian separation and recovery of convolutively mixed autoregressive sources (1999) (16)
An Introduction to Monte Carlo Methods for Bayesian Data Analysis (2001) (15)
Iterative algorithms for optimal state estimation of jump Markov linear systems (1999) (15)
On the stability of some controlled Markov chains and its applications to stochastic approximation with Markovian dynamic (2012) (14)
PARTICLE FILTERS FOR CONTINUOUS-TIME JUMP MODELS IN TRACKING APPLICATIONS (2007) (14)
Bayesian Computational Approaches to Model Selection (2000) (13)
Bayesian Computational Methods for Inference in Multiple Change-points Models (2011) (12)
Release of fission tritium through Zircaloy-4 fuel cladding tubes (2005) (12)
Bayesian model selection of autoregressive processes (2000) (11)
An improved method for uniform simulation of stable minimum phase real ARMA (p,q) processes (1999) (11)
Reply to Robert et al.: Model criticism informs model choice and model comparison (2009) (11)
A general perspective on the Metropolis-Hastings kernel (2020) (11)
Aluminium alloy corrosion detection by magnetic measurements (1998) (11)
On-line non-stationary ICA using mixture models (2000) (10)
Peskun–Tierney ordering for Markovian Monte Carlo: Beyond the reversible scenario (2021) (9)
On-line Bayesian modelling and enhancement of speech signals (2000) (9)
Recursive Monte Carlo algorithms for parameter estimation in general state space models (2001) (8)
Scalable Monte Carlo inference for state-space models (2018) (8)
Bayesian blind marginal separation of convolutively mixed discrete sources (1998) (8)
Bayesian segmentation of piecewise constant autoregressive processes using MCMC methods (1999) (8)
An introduction to the theory and applications of simulation based computational methods in Bayesian signal processing (1998) (8)
Adaptive MAP multi-user detection for fading CDMA channels (2000) (8)
Sampling normalizing constants in high dimensions using inhomogeneous diffusions (2016) (8)
31st International Conference on Machine Learning, ICML 2014 (2014) (7)
Bayesian deconvolution of cyclostationary processes based on point processes (1996) (7)
Bayesian estimation of filtered point processes using Markov chain Monte Carlo methods (1997) (7)
E cient Bayesian Inference for Switching State-Space Models using Particle Markov Chain Monte Carlo Methods (2010) (7)
Novel Reduced-State BCJR Algorithms (2007) (7)
Subgeometric hypocoercivity for piecewise-deterministic Markov process Monte Carlo methods (2020) (7)
Particle Markov Chain Monte Carlo for Multiple Change-point Problems (2009) (7)
One-line Parameter Estimation in General State-Space Models using a Pseudo-Likelihood Approach (2012) (6)
Reduced complexity equalization of MIMO systems with a fixed-lag smoothed M-BCJR algorithm (2005) (6)
Measure of cyclostationarity for Gaussian processes based on the likelihood ratio test (1996) (6)
Explicit control of subgeometric ergodicity (2005) (6)
Non-stationary Bayesian modelling and enhancement of speech signals (1999) (6)
Joint Bayesian detection and estimation of sinusoids embedded in noise (1998) (6)
Approximate inference in hidden Markov models using iterative active state selection (2006) (6)
Bayesian Blind and Semi-Blind Equalization of Channels with Markov Inputs (2001) (6)
Monte Carlo Methods for Absolute Beginners (2003) (6)
Metropolis-Hastings with Averaged Acceptance Ratios (2020) (5)
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC (2021) (5)
On the e ciency of adaptive MCMC algorithms (2005) (5)
On the e ciency of adaptive MCMC algorithms (2005) (5)
Sequential Monte Carlo for model selection and estimation of neural networks (2000) (5)
PDA multiple model approach for joint channel tracking and symbol detection in MIMO systems (2006) (5)
Convergence of the equi-energy sampler (2007) (5)
Bayesian Inference with Big Data : A Snapshot from a Workshop (2014) (5)
Theoretical and methodological aspects of MCMC computations with noisy likelihoods (2018) (5)
Improving soft output quality of MIMO demodulation algorithm via importance sampling (2004) (4)
Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation" (2012) (4)
Efficient stochastic maximum a posteriori estimation for harmonic signals (1998) (4)
Convergence of stochastic approximation for Lyapunov stable dynamics : a proof from rst principles (2004) (4)
Discussion on the paper by Brooks, Giudici and Roberts (2003) (4)
Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes (2013) (4)
Bayesian estimation of the variance of a jitter using MCMC (1996) (4)
Bayesian filtering for hidden Markov models via Monte Carlo methods (1998) (4)
Multilevel and Quasi Monte Carlo Methods for the Calculation of the Expected Value of Partial Perfect Information (2021) (4)
Robust Bayesian spectral analysis via MCMC sampling (1998) (4)
4th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2003 (SPAWC 2003) (2003) (4)
Optimal Estimation of Amplitude and Phase Modulated Signals (2001) (4)
Particle filtering for non-stationary speech modelling and enhancement (2000) (3)
SGA based symbol detection and EM channel estimation for MIMO systems (2006) (3)
Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels (2000) (3)
Stochastic algorithms for marginal MAP retrieval of sinusoids in non-Gaussian noise (2000) (3)
Bayesian deconvolution in nuclear spectroscopy using RJMCMC (2002) (3)
Simulation-based computational methods for Bayesian signal processing (1998) (3)
Bayesian estimation and detection of shot noise processes using reversible jumps (1997) (3)
Efficient simulated annealing algorithms for Bayesian parameter estimation (1998) (2)
A Bayesian approach to harmonic retrieval with clipped data (1999) (2)
Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles (2022) (2)
Theoretical and Methodological Aspects of Markov Chain Monte Carlo Computations with Noisy Likelihoods (2018) (2)
Motor unit number estimation using reversible jump Markov chain Monte Carlo methods - Discussion paper (2007) (2)
An introduction to the theory and applications of simulation based computational methods in Bayesian (1998) (2)
Joint blind and semi-blind detection and channel estimation for space-time trellis coded systems (2003) (2)
Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees (2020) (2)
New Results - Interacting Markov chain Monte Carlo methods (2008) (2)
Particle smoothing techniques with turbo principle for MIMO systems (2003) (2)
Joint space-time trellis code detection and MIMO equalisation via particle filtering (2004) (1)
A note on one of the Markov chain Monte Carlo novice's questions (2015) (1)
Optimal estimation of non-stationary phase and amplitude processes (2000) (1)
Monte Carlo and Quasi-Monte Carlo Methods 2008 (2009) (1)
Tree-Based Reparameterization for Symbol Detection in Spatially Multiplexed MIMO Systems in Frequency Flat Fading (2006) (1)
Blind marginal maximum a posteriori sequence estimation for finite impulse response channels (1998) (1)
Gaussian Approximation Based Mixture Reduction for Joint Channel Estimation and Detection in MIMO Systems (2007) (1)
EXACT SAMPLING USING BRANCHING PARTICLE SIMULATION (2012) (1)
Introduction to “Particle Metropolis-Hastings using gradient and Hessian information” by J. Dahlin, F. Lindsten, T. Schön (2015) (1)
Perfect simulation for the Feynman-Kac law on the path space (2012) (1)
A particle filtering technique for Jump Markov Systems (2002) (1)
Poincar\'e inequalities for Markov chains: a meeting with Cheeger, Lyapunov and Metropolis (2022) (1)
Nanoparticle formulation for delivery of oligonucleotides in Retinal Pigment Epithelium cells in culture. (2004) (0)
TAM-2D et alternatives (1995) (0)
NON-LINEAR MARKOV CHAIN MONTE (2007) (0)
Transpalpebral iontophoresis combined with oligonucleotides intravitreous injection allows the targeting of photoreceptor cells in vivo (2005) (0)
Symbol detection comprising reduced state forward backward recursion (2005) (0)
Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments (2006) (0)
PARTICLE FILTERING FOR NON-STATIONARY SPEECH MODELLING (2000) (0)
Motivation and Basic Principles of the Monte Carlo Method (2004) (0)
Default prior for robust Bayesian model selection of sinusoids in Gaussian noise (2000) (0)
On Coherent versus Non-Coherent Spectrum Sensing in OFDM Systems (2010) (0)
Tree-Based Reparameterization with Distributional Approximations for Reduced-Complexity MIMO Symbol Detection (2008) (0)
Rao-Blackwellised Particle Filtering Data Augmentation VIa (2001) (0)
Fifth International Conference on 3G Mobile Communication Technologies, London (2004) (0)
Parti le Methods for Bayesian Modelling and Enhan ementof (2000) (0)
Genoplasty in Rd1 Mice in vivo (2003) (0)
Non-Stationary Bayesian Modelling and Enhan ement ofSpee h (1999) (0)
European Signal Processing Conference (EUSIPCO), Florence, Italy (2006) (0)
Introduction to “Particle Metropolis-Hastings using gradient and Hessian information” by J. Dahlin, F. Lindsten, T. Schön (2014) (0)
Down Regulation of TGFbeta–2 Expression in Rat Retinal Müller Glial Cells by Polyplexes of Polyethyleneimine / Phosphorothioate Antisense Oligodeoxynucleotides (2005) (0)
Kernel techniques for adaptive Monte Carlo methods (2016) (0)
On-line non-stationary independent component analysis of Gaussian mixtures (2000) (0)
Joint channel tracking and symbol detection in MIMO systems via multiple model methods (2005) (0)
PDA-BCJR algorithm for Factorial Hidden Markov Models with application to MIMO equalisation (2006) (0)
Pairwise likelihood inference in state space models with unknown stationary distribution. (2010) (0)
Efficient estimation of likelihood ratios in state-space models–application to scalable exact approximations of MCMCs (2015) (0)
On the usefulness of asymmetric acceptance ratio Metropolis-Hastings update (2015) (0)
Semi-blind identification of wideband MIMO channels via stochastic sampling (2003) (0)
In vitro correction of the rd1 point mutation in the beta-phosphodiesterase gene by specific single-stranded oligonucleotides (2005) (0)
LIKELIHOOD-FREE MODEL CRITICISM APPLIED TO STOCHASTIC MODELS OF PROTEIN NETWORK EVOLUTION (2009) (0)

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What Schools Are Affiliated With Christophe Andrieu?

Christophe Andrieu is affiliated with the following schools:

University of Bristol

Christophe Andrieu's Academic­Influence.com Rankings

Why Is Christophe Andrieu Influential?

Christophe Andrieu's Published Works

Published Works

What Schools Are Affiliated With Christophe Andrieu?

Christophe Andrieu's AcademicInfluence.com Rankings