| The time-rescaling theorem and its application to neural spike train data analysis EN Brown, R Barbieri, V Ventura, RE Kass, LM Frank Neural computation 14 (2), 325-346, 2002 | 662 | 2002 |
| Statistical issues in the analysis of neuronal data RE Kass, V Ventura, EN Brown Journal of neurophysiology 94 (1), 8-25, 2005 | 373 | 2005 |
| Asymptotic Distribution of P Values in Composite Null Models JM Robins, A van der Vaart, V Ventura Journal of the American Statistical Association 95 (452), 1143-1156, 2000 | 308 | 2000 |
| A spike-train probability model RE Kass, V Ventura Neural computation 13 (8), 1713-1720, 2001 | 306 | 2001 |
| Controlling the proportion of falsely rejected hypotheses when conducting multiple tests with climatological data V Ventura, CJ Paciorek, JS Risbey Journal of Climate 17 (22), 4343-4356, 2004 | 225 | 2004 |
| Multiple indices of Northern Hemisphere cyclone activity, winters 1949–99 CJ Paciorek, JS Risbey, V Ventura, RD Rosen Journal of Climate 15 (13), 1573-1590, 2002 | 169 | 2002 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 164 | 2022 |
| Statistical smoothing of neuronal data RE Kass, V Ventura, C Cai Network: Computation in Neural Systems 14 (1), 5, 2003 | 150 | 2003 |
| To sort or not to sort: the impact of spike-sorting on neural decoding performance S Todorova, P Sadtler, A Batista, S Chase, V Ventura Journal of neural engineering 11 (5), 056005, 2014 | 135 | 2014 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 90 | 2021 |
| Trial-to-trial variability and its effect on time-varying dependency between two neurons V Ventura, C Cai, RE Kass Journal of neurophysiology 94 (4), 2928-2939, 2005 | 78 | 2005 |
| Neuronal activity in macaque supplementary eye field during planning of saccades in response to pattern and spatial cues CR Olson, SN Gettner, V Ventura, R Carta, RE Kass Journal of Neurophysiology 84 (3), 1369-1384, 2000 | 78 | 2000 |
| Statistical analysis of temporal evolution in single‐neuron firing rates V Ventura, R Carta, RE Kass, SN Gettner, CR Olson Biostatistics 3 (1), 1-20, 2002 | 70 | 2002 |
| Spike train decoding without spike sorting V Ventura Neural computation 20 (4), 923-963, 2008 | 67 | 2008 |
| Bootstrap diagnostics and remedies AJ Canty, AC Davison, DV Hinkley, V Ventura Canadian Journal of Statistics 34 (1), 5-27, 2006 | 65 | 2006 |
| Statistical assessment of time-varying dependency between two neurons V Ventura, C Cai, RE Kass Journal of Neurophysiology 94 (4), 2940-2947, 2005 | 64 | 2005 |
| An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences 118 (51), e2111452118, 2021 | 47 | 2021 |
| Spline‐based non‐parametric regression for periodic functions and its application to directional tuning of neurons CG Kaufman, V Ventura, RE Kass Statistics in medicine 24 (14), 2255-2265, 2005 | 47 | 2005 |
| Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction? DJ McDonald, J Bien, A Green, AJ Hu, N DeFries, S Hyun, NL Oliveira, ... Proceedings of the National Academy of Sciences 118 (51), e2111453118, 2021 | 44 | 2021 |
| Traditional waveform based spike sorting yields biased rate code estimates V Ventura Proceedings of the National Academy of Sciences 106 (17), 6921-6926, 2009 | 41 | 2009 |
