Arnaud Doucet
About
Arnaud Doucet has authored 205 papers that have received a total of 17.5k indexed citations.
This includes 147 papers in Artificial Intelligence, 79 papers in Statistics and Probability and 33 papers in Control and Systems Engineering. The topics of these papers are Target Tracking and Data Fusion in Sensor Networks (76 papers), Bayesian Methods and Mixture Models (64 papers) and Markov Chains and Monte Carlo Methods (54 papers). Arnaud Doucet is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (76 papers), Bayesian Methods and Mixture Models (64 papers) and Markov Chains and Monte Carlo Methods (54 papers) and collaborates with scholars based in United Kingdom, Canada and France. Arnaud Doucet's co-authors include Christophe Andrieu, Sumeetpal S. Singh, Pierre Del Moral, Nando de Freitas and Ajay Jasra and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and IEEE Transactions on Automatic Control
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