Statistics (Twin Cities)

Fingerprint Dive into the research topics where Statistics (Twin Cities) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

    • Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Profiles

    No photo of Kazeem Adepoju

    Kazeem Adepoju

    Person: Academic Professional

    No photo of Sara Algeri

    Sara Algeri

    Person: Faculty

    20112020
    No photo of Snigdhansu B Chatterjee

    Snigdhansu B Chatterjee

    Person: Faculty

    19792020

    Projects

    Zou:Novel Inference Procedures for Non-Standard High-dimensional Regression Models

    Zou, H.

    National Science Foundation

    7/1/20 → 6/30/23

    Project: Research project

    • Shen:FRG: Collaborative Research: Generative Learning on Unstructured Data with Applications to Natural Language Processing and Hyperlink Prediction

    Shen, X. T.

    National Science Foundation

    7/1/20 → 6/30/23

    Project: Research project

    Chatterjee: Collaborative Research: C1: Learning the Universal Free Energy Function

    Chatterjee, S. B.

    National Science Foundation

    3/15/20 → 2/28/22

    Project: Research project

    • Research Output

    Analyzing Markov chain Monte Carlo output

    Vats, D., Robertson, N., Flegal, J. M. & Jones, G. L., Jul 1 2020, In : Wiley Interdisciplinary Reviews: Computational Statistics. 12, 4, e1501.

    Research output: Contribution to journal › Review article

    • Combining envelope methodology and aster models for variance reduction in life history analyses

    Eck, D. J., Geyer, C. J. & Cook, R. D., Mar 2020, In : Journal of Statistical Planning and Inference. 205, p. 283-292 10 p.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    Deep clustering of compressed variational embeddings

    Wu, S., Diao, E., Ding, J. & Tarokh, V., Mar 2020, Proceedings - DCC 2020: Data Compression Conference. Bilgin, A., Marcellin, M. W., Serra-Sagrista, J. & Storer, J. A. (eds.). Institute of Electrical and Electronics Engineers Inc., 1 p. 9105763. (Data Compression Conference Proceedings; vol. 2020-March).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • Datasets

    Supporting Data Analysis for "An Integrated Analysis of Phenotypic Selection on Insect Body Size and Development Time"

    Eck, D. J., Geyer, C. J., Kingsolver, J. G. & Shaw, R. G., Data Repository for the University of Minnesota, 2011

    DOI: 10.13020/D6F59K, http://dx.doi.org/10.13020/D6F59K

    Dataset

    Supporting Data Analysis for "An Integrated Analysis of Phenotypic Selection on Insect Body Size and Development Time"

    Eck, D. J., Geyer, C. J., Kingsolver, J. G. & Shaw, R. G., Data Repository for the University of Minnesota, 2011

    DOI: 10.13020/D6F59K, http://dx.doi.org/10.13020/D6F59K

    Dataset

    Supporting Data Analysis for "Combining Envelope Methodology and Aster Models for Variance Reduction in Life History Analyses"

    Cook, R. D., Eck, D. J. & Geyer, C. J., Data Repository for the University of Minnesota, 2016

    DOI: 10.13020/D66K51, http://dx.doi.org/10.13020/D66K51

    Dataset