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Methods

  • Layman’s abstract for paper on post model‐fitting exploration via a “Next‐Door” analysis
    Research Article

    Layman’s abstract for paper on post model‐fitting exploration via a “Next‐Door” analysis

    16th March 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...
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  • Layman’s abstract for paper on a comparison of some conformal quantile regression methods
    Research Article

    Layman’s abstract for paper on a comparison of some conformal quantile regression methods

    9th March 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 small area estimation of receiver operating characteristic curves for ordinal data under stochastic ordering
    Research Article

    Layman’s abstract for paper on small area estimation of receiver operating characteristic curves for ordinal data under stochastic ordering

    17th 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

  • 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...
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  • 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...
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  • 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...
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