Jiannan Lu

发表

Heavy User Effect in A/B Testing: Identification and Estimation

Yu Wang, Somit Gupta, Jiannan Lu, 2019, 1902.02021.

Improved Neymanian analysis for 2K factorial designs with binary outcomes

Jiannan Lu, 2019, Statistica Neerlandica.

On randomization-based causal inference for matched-pair factorial designs

Alex Deng, Jiannan Lu, 2017, 1702.00888.

Covariate adjustment in randomization-based causal inference for 2K factorial designs

Jiannan Lu, 2016, 1606.05418.

A note on Type S/M errors in hypothesis testing.

Alex Deng, Yixuan Qiu, Jiannan Lu, 2019, The British journal of mathematical and statistical psychology.

Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing

Alex Deng, Jiannan Lu, Shouyuan Chen, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Demystifying the Bias from Selective Inference: a Revisit to Dawid's Treatment Selection Problem

Alex Deng, Jiannan Lu, 2016, 1601.05835.

Sharp Bounds of Causal Effects on Ordinal Outcomes

Tirthankar Dasgupta, Jiannan Lu, Peng Ding, 2015 .

On improving Neymanian analysis for $2^K$ factorial designs with binary outcomes

Jiannan Lu, 2018, 1803.04503.

Sharp bounds on the relative treatment effect for ordinal outcomes

P. Ding, Jiannan Lu, Yunshu Zhang, 2019, Biometrics.

Sharpening randomization-based causal inference for 22 factorial designs with binary outcomes

Jiannan Lu, 2017, Statistical methods in medical research.

On Post-selection Inference in A/B Testing

Alex Deng, V. Ramamurthy, Jiannan Lu, 2019, KDD.

Concise Summarization of Heterogeneous Treatment Effect Using Total Variation Regularized Regression

Pengchuan Zhang, Alex Deng, Jiannan Lu, 2016, 1610.03917.

On randomization-based and regression-based inferences for 2K factorial designs

Jiannan Lu, Jiannan Lu, 2016, 1602.03972.

Principal stratification analysis using principal scores

Jiannan Lu, Peng Ding, P. Ding, 2016, 1602.01196.

All about sample-size calculations for A/B testing: Novel extensions and practical guide

Jiannan Lu, Jing Zhou, Anas Shallah, 2023, 2305.16459.

Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds

Tirthankar Dasgupta, Jiannan Lu, Peng Ding, 2015, 1507.01542.

Applying the Delta Method in Metric Analytics: A Practical Guide with Novel Ideas

Alex Deng, Ulf Knoblich, Jiannan Lu, 2018, KDD.

Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions

Alex Deng, Jiannan Lu, Jonthan Litz, 2017, WSDM.

On finite-population Bayesian inferences for 2K factorial designs with binary outcomes

Jiannan Lu, Jiannan Lu, 2018, Journal of Statistical Computation and Simulation.

On Heavy-user Bias in A/B Testing

Yu Wang, Jiannan Lu, Somit Gupta, 2019, CIKM.

Novelty and Primacy: A Long-Term Estimator for Online Experiments pdf

Jiannan Lu, Somit Gupta, Stefan Gramatovici, 2021, Technometrics.

On Causal Inference for Ordinal Outcomes

Jiannan Lu, 2015 .

On Heavy-user Bias in A/B Testing

Yu Wang, Somit Gupta, Jiannan Lu, 2019, CIKM.