Sally Cripps
About
Sally Cripps has authored 19 papers that have received a total of 461 indexed citations.
This includes 8 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 3 papers in Modeling and Simulation. The topics of these papers are Markov Chains and Monte Carlo Methods (4 papers), Bayesian Methods and Mixture Models (3 papers) and COVID-19 epidemiological studies (3 papers). Sally Cripps is often cited by papers focused on Markov Chains and Monte Carlo Methods (4 papers), Bayesian Methods and Mixture Models (3 papers) and COVID-19 epidemiological studies (3 papers) and collaborates with scholars based in Australia, United States and United Kingdom. Sally Cripps's co-authors include Rohitash Chandra, R. Dietmar Müller, Tristan Salles, John P. A. Ioannidis and Ori Rosen and has published in prestigious journals such as Journal of Clinical Epidemiology, Frontiers in Psychology and IEEE Transactions on Neural Networks and Learning Systems
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