James Q. Smith

14 papers and 545 indexed citations i.

James Q. Smith has authored 14 papers that have received a total of 545 indexed citations. This includes 7 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Signal Processing. The topics of these papers are Bayesian Modeling and Causal Inference (7 papers), Bayesian Methods and Mixture Models (2 papers) and Time Series Analysis and Forecasting (2 papers). James Q. Smith is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Bayesian Methods and Mixture Models (2 papers) and Time Series Analysis and Forecasting (2 papers) and collaborates with scholars based in United Kingdom, Canada and Hong Kong. James Q. Smith's co-authors include Robert M. Oliver, James R. Lynn, Thomas E. Nichols, Neeraj Salathia and Paul Goodwin and has published in prestigious journals such as The Plant Cell, Technometrics and The Annals of Statistics