Publications

Yifei Xiong, Nianqiao Phyllis Ju (2025). SOMA: a novel sampler for exchangeable variables. Arxiv preprint.

Yifei Xiong, Nianqiao Ju, Sanguo Zhang (2025). Simulation-based Bayesian inference from privacy-protected data. TMLR.

Qian Qin, Nianqiao Ju, Guanyang Wang (2025). Spectral gap bounds for reversible hybrid Gibbs chains. AoS.

Nianqiao Ju, Jiawei Liu, Qixin He (2024). SNP-Slice: A Bayesian nonparametric framework to resolve SNP haplotypes in mixed infections. Bioinformatics.

Jordan A. Awan, Andres F. Barrientos, Nianqiao Ju (2024). Statistical Inference for Privatized Data with Unknown Sample Size. Arxiv preprint.

Nianqiao Ju, Jordan A. Awan, Ruobin Gong, Vinayak A. Rao (2022). Data Augmentation MCMC for Bayesian Inference from Privatized Data. NeurIPS 2022.

Nianqiao 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 Ju (2020). A simple Markov chain for independent Bernoulli variables conditioned on their sum. arXiv preprint.

Qingyuan Zhao, Nianqiao 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 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.