In the twenty-first century, Machine learning is a hot trend procedure for handling the real-life problem. Several books and research articles are now available in literature on this topic. An intr...
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Taylor & Francis
Statistical Theory and Related Fields Template
Write in a clean editor, then format for Statistical Theory and Related Fields in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Statistical Theory and Related Fields format
Statistical Theory and Related Fields is a peer-reviewed journal published by Taylor & Francis, covering Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Bayesian Methods and Mixture Models.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Statistical Theory and Related Fields 12 (3): 45–58.
Formats any DOI in Statistical Theory and Related Fields style. No sign-up. |
| Publishes research in | Statistical Methods and Inference Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models Advanced Statistical Methods and Models Statistical Distribution Estimation and Applications |
| ISSN | 2475-4269 |
| Citation impact (2-yr) | 1.82 |
| h-index | 16 |
| i10-index | 26 |
| Total citations | 2,720 |
| Open access | Yes |
| Top institutions publishing here | East China Normal University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Statistical Theory and Related Fields per year
Citation impact of Statistical Theory and Related Fields by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Statistical Theory and Related Fields
We propose two simple regression models of Pearson correlation coefficient of two normal responses or binary responses to assess the effect of covariates of interest. Likelihood-based inference is established to estimate the regression coefficients, upon which bootstrap-based method is used to test the significance of covariates of interest. Simulation studies show the effectiveness of the…
83 citations
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Reinsurance is an effective way for an insurance company to control its risk. How to design an optimal reinsurance contract is not only a key topic in actuarial science, but also an interesting research question in mathematics and statistics. Optimal reinsurance design problems can be proposed from different perspectives. Risk measures as tools of quantitative…
58 citations
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The rapid emergence of massive datasets in various fields poses a serious challenge to traditional statistical methods. Meanwhile, it provides opportunities for researchers to develop novel algorithms. Inspired by the idea of divide-and-conquer, various distributed frameworks for statistical estimation and inference have been proposed. They were developed to deal with large-scale statistical optimization problems. This…
53 citations
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Estimation of large covariance matrices is of great importance in multivariate analysis. The modified Cholesky decomposition is a commonly used technique in covariance matrix estimation given a specific order of variables. However, information on the order of variables is often unknown, or cannot be reasonably assumed in practice. In this work, we propose a Cholesky-based…
25 citations
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Statistical Theory and Related Fields template — frequently asked questions
How do I write a paper in the Statistical Theory and Related Fields format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Statistical Theory and Related Fields template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Statistical Theory and Related Fields use?
Statistical Theory and Related Fields uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Statistical Theory and Related Fields 12 (3): 45–58.
Do I need to know LaTeX to submit to Statistical Theory and Related Fields?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Statistical Theory and Related Fields document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Statistical Theory and Related Fields template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Statistical Theory and Related Fields format with correct headings, figures, tables, and author–year citations.
Who publishes Statistical Theory and Related Fields?
Statistical Theory and Related Fields is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Statistical Theory and Related Fields template matches Taylor & Francis's official submission format.
Can I export a submission-ready Statistical Theory and Related Fields PDF?
Yes — DocuGuru produces a PDF built with the official Statistical Theory and Related Fields template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Statistical Theory and Related Fields template cost?
You can start writing in the Statistical Theory and Related Fields template for free. Exporting the final submission-ready Statistical Theory and Related Fields PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.