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Christophe Andrieu
Also published under:C. Andrieu, Christophe Ändrieu
Affiliation
University of Bristol, Bristol, Bristol, GB
Topic
Bayesian Model,Markov Chain Monte Carlo,Particle Filter,Posterior Probability,State-space Model,3D Images,3D Ultrasound,Amount Of Regularization,Bayesian Inference,Bayesian Regression,Burn-in Period,Class Labels,Classification Process,Cluster C,Constant Velocity Model,Credible Interval,Decision Errors,Degrees Of Freedom,Error Detection,Error Probability,Estimates Of Use,Estimation Problem,Evolution Of Spectra,Federal Communications Commission,Frequency Band,Frequency Spectrum,Fundamental Frequency,Gaussian Mixture Distribution,Gaussian Process,Gibbs Sampling,Image Segmentation,Independent Observers,Invariant Distribution,Inverse Gaussian Distribution,Kalman Filter,Label Vector,Lasso Estimator,Least Angle Regression,Linear Gaussian,Linear Projection,Marginal Likelihood,Marginal Likelihood Estimation,Marginal Maximum Likelihood,Markov Chain,Maximum Likelihood,Maximum Likelihood Estimation,Measurement Matrix,Mixed Density,Monte Carlo Algorithm,Monte Carlo Simulation,
Biography
Christophe Andrieu graduated from Telecom Paris-Sud and obtained his Ph.D. in statistical signal processing from University Paris XV. He was a research associate in the signal processing group at the University of Cambridge 1998–2001. Since 2001 he has been a faculty member of the Statistics group at the University of Bristol where he is now a professor in Statistics. His research interests are in the area of computational methods for statistics and cognate areas. He has been on the editorial board of JRSS-B and is currently on the editorial board of the Annals of Statistics.