| BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic Q Zhao, N Ju, S Bacallado, RD Shah The Annals of Applied Statistics 15 (1), 363-390, 2021 | 36 | 2021 |
| Data augmentation MCMC for bayesian inference from privatized data N Ju, J Awan, R Gong, V Rao Advances in Neural Information Processing Systems 35, 12732-12743, 2022 | 26 | 2022 |
| A sequential test for selecting the better variant: Online a/b testing, adaptive allocation, and continuous monitoring N Ju, D Hu, A Henderson, L Hong Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 25 | 2019 |
| Generation interval for COVID-19 based on symptom onset data S Bacallado, Q Zhao, N Ju Eurosurveillance 25 (29), 2001381, 2020 | 14 | 2020 |
| Sequential Monte Carlo algorithms for agent-based models of disease transmission N Ju, J Heng, PE Jacob arXiv preprint arXiv:2101.12156, 2021 | 13 | 2021 |
| Spectral gap bounds for reversible hybrid Gibbs chains Q Qin, N Ju, G Wang arXiv preprint arXiv:2312.12782, 2023 | 4 | 2023 |
| SNP-Slice resolves mixed infections: Simultaneously unveiling strain haplotypes and linking them to hosts N Ju, J Liu, Q He Bioinformatics 40 (6), 2024 | 3 | 2024 |
| Conditional Density Estimations from Privacy-Protected Data Y Xiong, NP Ju, S Zhang arXiv preprint arXiv:2310.12781, 2023 | 1 | 2023 |
| A simple Markov chain for independent Bernoulli variables conditioned on their sum J Heng, PE Jacob, N Ju arXiv preprint arXiv:2012.03103, 2020 | 1 | 2020 |
| Analysis of Simulated Crowd Flow Exit Data: Visualization, Panic Detection and Exit Time Convergence, Attribution, and Estimation A Grim, B Iskra, N Ju, A Kryshchenko, FP Medina, L Ness, M Ngamini, ... Research in Data Science, 239-281, 2019 | 1 | 2019 |
| dapper: Data Augmentation for Private Posterior Estimation in R K Eng, JA Awan, NP Ju, VA Rao, R Gong arXiv preprint arXiv:2412.14503, 2024 | | 2024 |
| Statistical Inference for Privatized Data with Unknown Sample Size J Awan, AF Barrientos, N Ju arXiv preprint arXiv:2406.06231, 2024 | | 2024 |
| Statistical methods in infectious disease modeling: agent-based models, computations, and selection biases N Ju Harvard University, 2021 | | 2021 |
| Discussion of "Unified Framework for De-Duplication and Population Size Estimation" by Tancredi et al. N Ju, N Biswas, PE Jacob, G Mena, J O'Leary, E Pompe BAYESIAN ANALYSIS 15 (2), 670-672, 2020 | | 2020 |
| Detecting Functional States of the Rat Brain with Topological Data Analysis N Ju, I Volić, M Wiest Advanced Technologies, Systems, and Applications III: Proceedings of the …, 2019 | | 2019 |
Qingyuan ZhaoUniversity of CambridgeEmail yang diverifikasi di statslab.cam.ac.uk