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Contributed Papers

Advances in Statistical Inference

Mon, Aug 4, 2:00 PM - 3:50 PM Room CC-201B Music City Center

Lasanthi Pelawa WatagodaChair

IMS

7 Presentations

Assumption-Lean Post-Integrated Inference with Negative Control Outcomes

2:05 PM - 2:20 PM

Co-authors: Jin-Hong Du (Carnegie Mellon University), Kathryn Roeder (Carnegie Mellon University), Jin-Hong Du (Carnegie Mellon University), Larry Wasserman (Carnegie Mellon University)

Batch correction Confounder adjustment Data integration Hypothesis testing Latent embedding Model-free inference

Direct Probabilistic Inference for Continuity of Piecewise Models at Weighted Mean Threshold

2:20 PM - 2:35 PM

Co-authors: Ligong Chen, Ligong Chen

Fullwise-Piecewise model Convex Self-weighted Mean (Cmean) of Absolute residuals Regressive weight weighted mean threshold Connection variation at mean threshold Continuity probability

Efficient Semiparametric Inference for Distributed Data with Blockwise Missingness

2:35 PM - 2:50 PM

Co-authors: Jingyue Huang, Jingyue Huang, Huiyuan Wang (University of Pennsylvania), Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Blockwise missing Distributed inference Semi-parametric inference

Generative Calibration for Valid Inference: Bridging Inferential Models and Simulation

2:50 PM - 3:05 PM

Co-authors: Haoyun Yin, Haoyun Yin, Hyeong Jin Hyun, Halin Shin, Xiao Wang (Purdue University)

Inferential models simulation-based inference uncertainty quantification generative modeling frequentist calibration

WITHDRAWN One-step mean-squared consistency of the EM algorithm for high-dimensional Gaussian mixture models

3:05 PM - 3:20 PM

Co-authors: Rajita Chandak, Matias Cattaneo (Princeton University), Jason Klusowski (Princeton University)

Expectation-Maximization Gaussian Mixture Models High-dimensional iterative algorithms consistent estimation

Optimally adaptive test for high dimensional hypotheses via minimax deficiency

3:20 PM - 3:35 PM

Co-authors: Jingkun Qiu, Song Xi Chen (Tsinghua University), Jingkun Qiu, Yumou Qiu (Peking University)

deficiency detection boundary high dimensionality minimax optimality power enhancement

Towards Efficient Statistical Inference and Optimal Design in Adaptive Experiments

3:35 PM - 3:50 PM

Co-authors: Wenxin Zhang (UC Berkeley), Mark Van Der Laan (UC Berkeley), Wenxin Zhang (UC Berkeley)

Adaptive Experimental Design Targeted Maximum Likelihood Estimation Causal Inference

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