Jacob Bien

40 papers and 1.1k indexed citations i.

Jacob Bien has authored 40 papers that have received a total of 1.1k indexed citations. This includes 17 papers in Statistics and Probability, 10 papers in Molecular Biology and 10 papers in Artificial Intelligence. The topics of these papers are Statistical Methods and Inference (17 papers), Sparse and Compressive Sensing Techniques (6 papers) and Gene expression and cancer classification (4 papers). Jacob Bien is often cited by papers focused on Statistical Methods and Inference (17 papers), Sparse and Compressive Sensing Techniques (6 papers) and Gene expression and cancer classification (4 papers) and collaborates with scholars based in United States, Germany and Canada. Jacob Bien's co-authors include Robert Tibshirani, Christian L. Müller, Ryan J. Tibshirani, Sangwon Hyun and David S. Matteson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Scientific Reports