Zobrazeno 1 - 10
of 2 006
pro vyhledávání: '"Large-scale inference"'
Autor:
Bradley Efron
We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing
Autor:
Kotekal, Subhodh, Gao, Chao
The advent of large-scale inference has spurred reexamination of conventional statistical thinking. In a Gaussian model for $n$ many $z$-scores with at most $k < \frac{n}{2}$ nonnulls, Efron suggests estimating the location and scale parameters of th
Externí odkaz:
http://arxiv.org/abs/2401.06350
Autor:
Roy, Asmita, Zhang, Xianyang
In genome-wide epigenetic studies, exposures (e.g., Single Nucleotide Polymorphisms) affect outcomes (e.g., gene expression) through intermediate variables such as DNA methylation. Mediation analysis offers a way to study these intermediate variables
Externí odkaz:
http://arxiv.org/abs/2402.13933
The allocation of limited resources to a large number of potential candidates presents a pervasive challenge. In the context of ranking and selecting top candidates from heteroscedastic units, conventional methods often result in over-representations
Externí odkaz:
http://arxiv.org/abs/2306.08979
Autor:
Pournaderi, Mehrdad, Xiang, Yu
The Benjamini-Hochberg (BH) procedure is a celebrated method for multiple testing with false discovery rate (FDR) control. In this paper, we consider large-scale distributed networks where each node possesses a large number of p-values and the goal i
Externí odkaz:
http://arxiv.org/abs/2201.13008
Autor:
Weinstein, Asaf
Simultaneous statistical inference problems are at the basis of almost any scientific discovery process. We consider a class of simultaneous inference problems that are invariant under permutations, meaning that all components of the problem are obli
Externí odkaz:
http://arxiv.org/abs/2110.06250
Publikováno v:
In Journal of Econometrics February 2023 232(2):367-388
Autor:
Jung, Alexander W., Gerstung, Moritz
The Cox model is an indispensable tool for time-to-event analysis, particularly in biomedical research. However, medicine is undergoing a profound transformation, generating data at an unprecedented scale, which opens new frontiers to study and under
Externí odkaz:
http://arxiv.org/abs/2106.10057