Dipak Dey

5 papers and 213 indexed citations i.

Dipak Dey is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Dipak Dey has authored 5 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 1 paper in Management Science and Operations Research. Recurrent topics in Dipak Dey’s work include Bayesian Methods and Mixture Models (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Statistical Methods and Inference (1 paper). Dipak Dey is often cited by papers focused on Bayesian Methods and Mixture Models (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Statistical Methods and Inference (1 paper). Dipak Dey collaborates with scholars based in United States and Germany. Dipak Dey's co-authors include P. Müller, Eric R. Ziegel, S.K. Upadhyay, Umesh Kumar Singh, Ming‐Hui Chen, Keying Ye, Dongchu Sun, Peter Müller, Vladimir Pozdnyakov and Ram C. Tiwari and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Statistica Sinica.