Publications

Yifei Xiong, Nianqiao Phyllis Ju, Vinayak Rao (2026). Statistical Properties of Nonparametric MLE under Laplace Noise. Arxiv preprint.
Jiawei Liu, Chaoyu Ding, Nianqiao Phyllis Ju, Qixin He (2025). Learning mixed-infection strains from older hosts: a new sampling scheme for malaria epidemiology and population genetics. MedRxiv preprint.
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Yifei Xiong, Nianqiao Phyllis Ju (2025). SOMA: A Novel Sampler for Bayesian Inference from Privatized Data. Arxiv preprint.
Yifei Xiong, Nianqiao Phyllis Ju, Sanguo Zhang (2025). Simulation-based Bayesian inference from privacy-protected data. TMLR.
Code Preprint
Qian Qin, Nianqiao Phyllis Ju, Guanyang Wang (2025). Spectral gap bounds for reversible hybrid Gibbs chains. AoS.
Nianqiao Phyllis Ju, Jiawei Liu, Qixin He (2024). SNP-Slice: A Bayesian nonparametric framework to resolve SNP haplotypes in mixed infections. Bioinformatics.
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Jordan A. Awan, Andres F. Barrientos, Nianqiao Phyllis Ju (2024). Statistical Inference for Privatized Data with Unknown Sample Size. Arxiv preprint.
Nianqiao Phyllis Ju, Jordan A. Awan, Ruobin Gong, Vinayak A. Rao (2022). Data Augmentation MCMC for Bayesian Inference from Privatized Data. NeurIPS 2022.
Code Preprint
Nianqiao Phyllis Ju, Jeremy Heng, Pierre E. Jacob (2021). Sequential Monte Carlo algorithms for agent-based models of disease transmission. arXiv preprint.
Jeremy Heng, Pierre Jacob, Nianqiao Phyllis Ju (2020). A simple Markov chain for independent Bernoulli variables conditioned on their sum. arXiv preprint.
Qingyuan Zhao, Nianqiao Phyllis Ju, Sergio Bacallado, Rajen D. Shah (2020). BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. AOAS.
Nianqiao Phyllis Ju, Diane Hu, Adam Henderson, Liangjie Hong (2019). A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring. WSDM19.
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