Zobrazeno 1 - 10
of 783
pro vyhledávání: '"Wasserman, Larry"'
Understanding treatment effect heterogeneity is vital for scientific and policy research. However, identifying and evaluating heterogeneous treatment effects pose significant challenges due to the typically unknown subgroup structure. Recently, a nov
Externí odkaz:
http://arxiv.org/abs/2411.01250
We address the null paradox in epidemic models, where standard methods estimate a non-zero treatment effect despite the true effect being zero. This occurs when epidemic models mis-specify how causal effects propagate over time, especially when covar
Externí odkaz:
http://arxiv.org/abs/2410.11743
Data integration has become increasingly common in aligning multiple heterogeneous datasets. With high-dimensional outcomes, data integration methods aim to extract low-dimensional embeddings of observations to remove unwanted variations, such as bat
Externí odkaz:
http://arxiv.org/abs/2410.04996
Autor:
Zhu, Huanbiao, Desai, Krish, Kuusela, Mikael, Mikuni, Vinicius, Nachman, Benjamin, Wasserman, Larry
In many experimental contexts, it is necessary to statistically remove the impact of instrumental effects in order to physically interpret measurements. This task has been extensively studied in particle physics, where the deconvolution task is calle
Externí odkaz:
http://arxiv.org/abs/2409.10421
Searches of new signals in particle physics are usually done by training a supervised classifier to separate a signal model from the known Standard Model physics (also called the background model). However, even when the signal model is correct, syst
Externí odkaz:
http://arxiv.org/abs/2409.06399
Autor:
Cousins, Robert D., Wasserman, Larry
This is a writeup, with some elaboration, of the talks by the two authors (a physicist and a statistician) at the first PHYSTAT Informal review on January 24, 2024. We discuss Bayesian and frequentist approaches to dealing with nuisance parameters, i
Externí odkaz:
http://arxiv.org/abs/2404.17180
With the evolution of single-cell RNA sequencing techniques into a standard approach in genomics, it has become possible to conduct cohort-level causal inferences based on single-cell-level measurements. However, the individual gene expression levels
Externí odkaz:
http://arxiv.org/abs/2404.09119
Doubly robust estimators with cross-fitting have gained popularity in causal inference due to their favorable structure-agnostic error guarantees. However, when additional structure, such as H\"{o}lder smoothness, is available then more accurate "dou
Externí odkaz:
http://arxiv.org/abs/2403.15175
Semi-supervised datasets are ubiquitous across diverse domains where obtaining fully labeled data is costly or time-consuming. The prevalence of such datasets has consistently driven the demand for new tools and methods that exploit the potential of
Externí odkaz:
http://arxiv.org/abs/2402.18921
One of the central objects in the theory of optimal transport is the Brenier map: the unique monotone transformation which pushes forward an absolutely continuous probability law onto any other given law. A line of recent work has analyzed $L^2$ conv
Externí odkaz:
http://arxiv.org/abs/2312.12407