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stat.ME2025
Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
Cheng Zeng, George Michailidis, Hitoshi Iyatomi +1
The conditional density characterizes the distribution of a response variable given other predictor , and plays a key role in many statistical tasks, including classificatio…
stat.ME2025
Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions
Cheng Zeng, Yaozhi Yang, Jason Xu +1
Many statistical problems include model parameters that are defined as the solutions to optimization sub-problems. These include classical approaches such as profile likelihood as…
stat.ME2024
Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes
Cheng Zeng, Eleni Dilma, Jason Xu +1
Optimization is widely used in statistics, and often efficiently delivers point estimates on useful spaces involving structural constraints or combinatorial structure. To quantify…