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Statistical inference via data science

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  • Shalabh

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Suggested Citation

  • Shalabh, 2021. "Statistical inference via data science," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1155-1155, July.
    • Handle: RePEc:bla:jorssa:v:184:y:2021:i:3:p:1155-1155
    DOI: 10.1111/rssa.12707
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    Cited by:

    1. Liang, Zhentao & Ba, Zhichao & Mao, Jin & Li, Gang, 2023. "Research complexity increases with scientists’ academic age: Evidence from library and information science," Journal of Informetrics, Elsevier, vol. 17(1).
    2. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2022. "Renewable energy and CO2 emissions: New evidence with the panel threshold model," Renewable Energy, Elsevier, vol. 194(C), pages 117-128.
    3. Zhang, Tiantian & Nakagawa, Kei & Matsumoto, Ken'ichi, 2023. "Evaluating solar photovoltaic power efficiency based on economic dimensions for 26 countries using a three-stage data envelopment analysis," Applied Energy, Elsevier, vol. 335(C).
    4. Sojib Ahmed, M. & Rezwan Khan, M. & Haque, Anisul & Ryyan Khan, M., 2022. "Agrivoltaics analysis in a techno-economic framework: Understanding why agrivoltaics on rice will always be profitable," Applied Energy, Elsevier, vol. 323(C).
    5. Ortega-Ruiz, G. & Mena-Nieto, A. & Golpe, A.A. & García-Ramos, J.E., 2022. "CO2 emissions and causal relationships in the six largest world emitters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    6. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
    7. Thomas, Duncan Andrew & Ramos-Vielba, Irene, 2022. "Reframing study of research(er) funding towards configurations and trails," SocArXiv uty2v, Center for Open Science.
    8. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    9. Candio, Paolo & Violato, Mara & Clarke, Philip M & Duch, Raymond & Roope, Laurence SJ, 2023. "Prevalence, predictors and reasons for COVID-19 vaccine hesitancy: Results of a global online survey," Health Policy, Elsevier, vol. 137(C).
    10. Weihua Li & Sam Zhang & Zhiming Zheng & Skyler J. Cranmer & Aaron Clauset, 2022. "Untangling the network effects of productivity and prominence among scientists," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    11. Yang, Alex Jie & Wu, Linwei & Zhang, Qi & Wang, Hao & Deng, Sanhong, 2023. "The k-step h-index in citation networks at the paper, author, and institution levels," Journal of Informetrics, Elsevier, vol. 17(4).
    12. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Uncited papers in the structure of scientific communication," Journal of Informetrics, Elsevier, vol. 17(2).
    13. Eitan Frachtenberg, 2022. "Multifactor Citation Analysis over Five Years: A Case Study of SIGMETRICS Papers," Publications, MDPI, vol. 10(4), pages 1-16, December.
    14. Malte Hückstädt, 2023. "Ten reasons why research collaborations succeed—a random forest approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1923-1950, March.
    15. Manuel Goyanes & Márton Demeter & Aurea Grané & Tamás Tóth & Homero Gil Zúñiga, 2023. "Research patterns in communication (2009–2019): testing female representation and productivity differences, within the most cited authors and the field," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 137-156, January.
    16. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Liyin Zhang & Yuchen Qian & Chao Ma & Jiang Li, 2023. "Continued collaboration shortens the transition period of scientists who move to another institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1765-1784, March.
    18. Michael Färber & Melissa Coutinho & Shuzhou Yuan, 2023. "Biases in scholarly recommender systems: impact, prevalence, and mitigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2703-2736, May.
    19. Gerald Schweiger & Adrian Barnett & Peter van den Besselaar & Lutz Bornmann & Andreas De Block & John P. A. Ioannidis & Ulf Sandstrom & Stijn Conix, 2024. "The Costs of Competition in Distributing Scarce Research Funds," Papers 2403.16934, arXiv.org.
    20. Sacker, Amanda & Lacey, Rebecca E. & Maughan, Barbara & Murray, Emily T., 2022. "Out-of-home care in childhood and socio-economic functioning in adulthood: ONS Longitudinal study 1971–2011," Children and Youth Services Review, Elsevier, vol. 132(C).
    21. Zhuanlan Sun & C. Clark Cao & Sheng Liu & Yiwei Li & Chao Ma, 2024. "Behavioral consequences of second-person pronouns in written communications between authors and reviewers of scientific papers," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    22. Wu, Lingfei & Kittur, Aniket & Youn, Hyejin & Milojević, Staša & Leahey, Erin & Fiore, Stephen M. & Ahn, Yong-Yeol, 2022. "Metrics and mechanisms: Measuring the unmeasurable in the science of science," Journal of Informetrics, Elsevier, vol. 16(2).

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