Hey there, I am Junting, a statistics PhD with 4+ years of experience in deep learning, statistical modeling, and causal inference. My dissertation focuses on quantifying uncertainty for model prediction and fast feature selection method using Bayesian variational inference for large scale data.

Latest news:
2022-10-08: My latest paper on quantifying model uncertainty using confidence sets is on archive .

2022-3-10: My paper on flexible novel Semi-parametric zero-inflated Bayesian model for right-skewed data is published in Statistics in Medicine .


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