High-dimensional Mixture Analysis

High-Dimensional Mixture Analysis is a statistical modeling framework that characterizes complex dose-response relationships in mixtures with a large number of components by simultaneously accounting for high-dimensional interactions, correlations, and sparsity patterns among exposures.

18

Publications

1.2K

Citations

51

Authors

54

Institutions

Publications per year

2017–2026

7

Authors

51

  1. FD
    Francesco Dondi

    University of Ferrara, Italy

    1 publications · 35 citations

    1

    h-index

  2. AG
    Alistair G. Swanson

    Pfizer (United Kingdom), United Kingdom

    1 publications · 125 citations

    1

    h-index

  3. MA
    Makoto Aoshima

    University of Tsukuba, Japan

    1 publications · 12 citations

    1

    h-index

  4. BG
    Bruce G. Lindsay

    Pennsylvania State University, United States

    1 publications · 179 citations

    1

    h-index

  5. WL
    Weiming Li

    Beijing University of Posts and Telecommunications, China

    1 publications · 28 citations

    1

    h-index

1–5 of 51

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 2 publications · 291 citations

    2

    h-index

  2. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 27 citations

    1

    h-index

  3. SIAM Journal on Imaging Sciences

    SIIMS · 1 publications · 50 citations

    1

    h-index

  4. Statistical Methods in Medical Research

    1 publications · 14 citations

    1

    h-index

  5. The Annals of Statistics

    1 publications · 179 citations

    1

    h-index

1–5