Christophe Andrieu
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Mathematics
Why Is Christophe Andrieu Influential?
(Suggest an Edit or Addition)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: