Estimating causal effects of functional treatments with modified functional treatment policies https://arxiv.org/abs/2602.09145 #stat.ME
Minimum Distance Summaries for Robust Neural Posterior Estimation https://arxiv.org/abs/2602.09161 #stat.ML #cs.LG
Mean regression for (0,1) responses via beta scale mixtures https://arxiv.org/abs/2602.09167 #stat.ME
Quantifying Epistemic Uncertainty in Diffusion Models https://arxiv.org/abs/2602.09170 #stat.ML #cs.AI #cs.LG
Some Bayesian Perspectives on Clinical Trials https://arxiv.org/abs/2602.09208 #stat.ME
Goodness-of-fit testing for nonlinear inverse problems with random observations https://arxiv.org/abs/2602.09219 #math.ST #stat.TH
Motivating REML via Prediction-Error Covariances in EM Updates for Linear Mixed Models https://arxiv.org/abs/2602.09247 #stat.CO
Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations https://arxiv.org/abs/2602.03889 #stat.ML #cs.LG
A Hitchhiker's Guide to Poisson Gradient Estimation https://arxiv.org/abs/2602.03896 #q-bio.NC #stat.ML #cs.LG
Learning Multi-type heterogeneous interacting particle systems https://arxiv.org/abs/2602.03954 #stat.ML #stat.CO #stat.ME #cs.LG
Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors https://arxiv.org/abs/2602.03972 #stat.ML #cs.AI #cs.LG
Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis https://arxiv.org/abs/2602.03985 #stat.ME #stat.AP
Robust Nonparametric Two-Sample Tests via Mutual Information using Extended Bregman Divergence https://arxiv.org/abs/2602.04010 #stat.ME
Efficient Subgroup Analysis via Optimal Trees with Global Parameter Fusion https://arxiv.org/abs/2602.04077 #stat.ML #cs.LG
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