Stats & Data Science Views

  • Articles
    • Features
    • Research Articles
  • Topics
    • Biostatistics
    • Business and Economics
    • Engineering
    • Environmental
    • Methods
    • Social Science
    • Data Science
  • News
  • Events
  • Latest Research

Methods

  • Layman’s abstract for paper on goodness‐of‐fit for regime‐switching copula models with application to option pricing
    Research Article

    Layman’s abstract for paper on goodness‐of‐fit for regime‐switching copula models with application to option pricing

    3rd February 2020

    Every few days, we will be publishing layman's abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in...
    Read More

  • Research Article

    Lay abstract for STAT paper from Deep Learning from Statistical Perspectives special issue: Deep latent variable models for generating knockoffs

    29th January 2020

    Every few days, we will be publishing lay abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in an...
    Read More

  • Stats-and-Data-Science
    Feature

    “The coupling of innovation and open data science tools for science has been fascinating to me and hard to tease apart”: An interview with Dr Julia Stewart-Lowndes

    29th January 2020

    Dr Julia Stewart-Lowndes is a marine ecologist, data scientist, and Senior Fellow at the National Center for Ecological Analysis and Synthesis (NCEAS) at the University of California at Santa...
    Read More

  • Layman’s abstract for paper on estimating prediction error for complex samples
    Research Article

    Layman’s abstract for paper on estimating prediction error for complex samples

    27th January 2020

    Every few days, we will be publishing layman's abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in...
    Read More

  • Layman’s abstract for paper on applications to distributed computing under disclosure constraints for recovery of original individual person data (IPD) inferences from empirical IPD summaries only
    Research Article

    Layman’s abstract for paper on applications to distributed computing under disclosure constraints for recovery of original individual person data (IPD) inferences from empirical IPD summaries only

    22nd January 2020

    Every few days, we will be publishing layman's abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in...
    Read More

  • Layman’s abstract for paper on multistate analysis from cross‐sectional and auxiliary samples
    Research Article

    Layman’s abstract for paper on multistate analysis from cross‐sectional and auxiliary samples

    20th January 2020

    Every few days, we will be publishing layman's abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in...
    Read More

  • Layman’s abstract for paper on improved methods for moment restriction models with data combination and an application to two‐sample instrumental variable estimation
    Research Article

    Layman’s abstract for paper on improved methods for moment restriction models with data combination and an application to two‐sample instrumental variable estimation

    13th January 2020

    Every few days, we will be publishing layman's abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in...
    Read More

  • Layman’s abstract for paper on semiparametric regression methods for temporal processes subject to multiple sources of censoring
    Research Article

    Layman’s abstract for paper on semiparametric regression methods for temporal processes subject to multiple sources of censoring

    8th January 2020

    Every few days, we will be publishing layman's abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in...
    Read More

  • Layman’s abstract for paper on direct estimation of differential networks under high‐dimensional nonparanormal graphical models
    Research Article

    Layman’s abstract for paper on direct estimation of differential networks under high‐dimensional nonparanormal graphical models

    6th January 2020

    Every few days, we will be publishing layman's abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in...
    Read More

  • Layman’s abstract for paper on association measures for clustered competing risks
    Research Article

    Layman’s abstract for paper on association measures for clustered competing risks

    20th December 2019

    Every few days, we will be publishing layman's abstracts of new articles from our prestigious portfolio of journals in statistics. The aim is to highlight the latest research to a broader audience in...
    Read More

1 … 89 90 91 92 93 … 108
ad banner

Featured Publications

  • Journal: Statistical Analysis and Data Mining

  • Journal: Australian & New Zealand Journal of Statistics

  • Book: Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

Follow Us

QUICK LINKS

  • Associations & Societies
  • Webinars & Video
  • Contact Us
  • © Copyright 2026 John Wiley & Sons, Inc., or related companies. All rights reserved.
  • Cookie Preferences
  • Privacy Policy
  • Terms of Use