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Nianqiao Phyllis Ju
Nianqiao Phyllis Ju
Other names鞠念桥, Nianqiao Ju
Purdue University, Department of Statistics
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
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
232021
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
142019
Generation interval for COVID-19 based on symptom onset data
S Bacallado, Q Zhao, N Ju
Eurosurveillance 25 (29), 2001381, 2020
112020
Sequential Monte Carlo algorithms for agent-based models of disease transmission
N Ju, J Heng, PE Jacob
arXiv preprint arXiv:2101.12156, 2021
32021
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
12019
Data Augmentation MCMC for Bayesian Inference from Privatized Data
N Ju, JA Awan, R Gong, VA Rao
arXiv preprint arXiv:2206.00710, 2022
2022
Statistical methods in infectious disease modeling: agent-based models, computations, and selection biases
N Ju
Harvard University, 2021
2021
A simple Markov chain for independent Bernoulli variables conditioned on their sum
J Heng, PE Jacob, N Ju
arXiv preprint arXiv:2012.03103, 2020
2020
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
International Symposium on Innovative and Interdisciplinary Applications of …, 2018
2018
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Articles 1–10