| A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex SEJ de Vries, JA Lecoq, MA Buice, PA Groblewski, GK Ocker, M Oliver, ... Nature neuroscience 23 (1), 138-151, 2020 | 288 | 2020 |
| Exact spike train inference via ℓ0 optimization S Jewell, D Witten The annals of applied statistics 12 (4), 2457, 2018 | 88 | 2018 |
| Fast nonconvex deconvolution of calcium imaging data S Jewell, TD Hocking, P Fearnhead, D Witten Biostatistics, 2019 | 78 | 2019 |
| Testing for a change in mean after changepoint detection S Jewell, P Fearnhead, D Witten Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 56 | 2022 |
| A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex SEJ de Vries, J Lecoq, MA Buice, PA Groblewski, GK Ocker, M Oliver, ... BioRxiv, 359513, 2018 | 40 | 2018 |
| It’s complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US S Jewell, J Futoma, L Hannah, AC Miller, NJ Foti, EB Fox NPJ digital medicine 4 (1), 152, 2021 | 24 | 2021 |
| Inferring spikes from calcium imaging in dopamine neurons W Fleming, S Jewell, B Engelhard, DM Witten, IB Witten PloS one 16 (6), e0252345, 2021 | 22 | 2021 |
| More powerful selective inference for the graph fused lasso Y Chen, S Jewell, D Witten Journal of Computational and Graphical Statistics 32 (2), 577-587, 2023 | 19 | 2023 |
| Somatic mutation detection and classification through probabilistic integration of clonal population information F Dorri, S Jewell, A Bouchard-Côté, SP Shah Communications biology 2 (1), 44, 2019 | 11 | 2019 |
| Quantifying uncertainty in spikes estimated from calcium imaging data YT Chen, SW Jewell, DM Witten Biostatistics 24 (2), 481-501, 2023 | 5 | 2023 |
| Exact spike train inference via ‘0 Optimization. arXiv S Jewell, D Witten Issue 1703, v1, 2017 | 5 | 2017 |
| Non-linear equity portfolio variance reduction under a mean–variance framework—A delta–gamma approach SW Jewell, Y Li, TA Pirvu Operations Research Letters 41 (6), 694-700, 2013 | 5 | 2013 |
| Discussion of ‘Gene hunting with hidden Markov model knockoffs’ SW Jewell, DM Witten Biometrika 106 (1), 23-26, 2019 | 3 | 2019 |
| Estimation and Inference in Changepoint Models SW Jewell University of Washington, 2020 | 2 | 2020 |
| Atomic spatial processes S Jewell, N Spencer, A Bouchard-Côté International Conference on Machine Learning, 248-256, 2015 | 2 | 2015 |
| Latent Temporal Flows for Multivariate Analysis of Wearables Data M Amiridi, G Darnell, S Jewell arXiv preprint arXiv:2210.07475, 2022 | 1 | 2022 |
| LatTe Flows: Latent Temporal Flows for Multivariate Sequence Analysis M Amiridi, G Darnell, S Jewell | | |
Daniela WittenProfessor of Statistics & Biostatistics, Dorothy Gilford Endowed Chair, University of Washington在 u.washington.edu 的电子邮件经过验证
