Centre for Data Analytics

Research output

Research output per year 1986 2021

• 617 Citations
• 12 h-Index
• 98 Article
• 25 Abstract
• 24 Conference contribution
• 15 Presentation
• 78 More
  • 15 Comment/debate
  • 13 Chapter
  • 10 Book/Film/Article review
  • 9 Paper
  • 5 Scholarly edition
  • 5 Poster
  • 3 Other chapter contribution
  • 3 Meeting Abstract
  • 3 Software
  • 2 Book
  • 2 Magazine Article
  • 1 Foreword/postscript
  • 1 Other
  • 1 Editorial
  • 1 Special issue
  • 1 Digital or Visual Products
  • 1 Other contribution
  • 1 Submission to government
  • 1 Patent

Research output per year

Research output per year

Search results

• 2021

  Kuldeep Kumar’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer

  Kumar, K., Apr 2021, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 184, 2, p. 453-454 2 p.

  Research output: Contribution to journal › Comment/debate › Research

• Response to basic Theme – VII Experimental and Observational Study Designs:

  Kumar, K., Jan 2021, In: Biometric Bulletin. 38, 1, p. 3 1 p.

  Research output: Contribution to journal › Comment/debate › Research
• 2020

  Discussion on the meeting on ‘Signs and sizes:understanding and replicating statistical findings’

  Kumar, K., Feb 2020, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 183, 2, p. 455 1 p.

  Research output: Contribution to journal › Comment/debate › Research

  Open Access

  • Rice 100%
  • statistical test 90%
  • Statistical test 81%
  • Statistical Tests 54%
  • Expected Utility 52%

• Discussion on the paper by Bernard W Silverman on "Multiple-systems analysis for the quantification of modern slavery: classical and Bayesian approaches"

  Kumar, K., 1 Jun 2020, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 183, 3, p. 724 1 p.

  Research output: Contribution to journal › Comment/debate › Research

  Open Access

  • Systems Analysis 100%
  • slavery 99%
  • systems analysis 98%
  • Bayesian Approach 94%
  • Graph 86%
  9 Citations (Scopus)

• Response to the Editor -Basic Theme IV: Inductive and Deductive Reasoning

  Kumar, K., 2020, In: Biometric Bulletin. 37, 2, p. 3 1 p.

  Research output: Contribution to journal › Comment/debate › Research

  • Decision trees 100%
  • Logistics 88%
  • Learning algorithms 86%
  • Data structures 83%
• 2019

  Response to the Editor Basic Theme -II

  Kumar, K., Oct 2019, In: Biometric Bulletin. 36, 3, p. 3-8 1 p.

  Research output: Contribution to journal › Comment/debate › Research

  • Editor 100%
  • Experiment 83%
  • Climate Change 40%
  • Global Warming 37%
  • Real Life 30%

• Response to the Editor’s Proposition -2 – Innovations in measurement

  Kumar, K., 2019, In: Biometric Bulletin. 36, 2, p. 4 1 p.

  Research output: Contribution to journal › Comment/debate › Research

  • editor 100%
  • innovation 75%
• 2018

  Discussion on the paper by David Hand: “Statistical Challenges of administrative and transaction data”

  Kumar, K., 9 Feb 2018, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 181, 3, p. 593

  Research output: Contribution to journal › Comment/debate › Research

  Open Access

  • Transactions 100%
  • Administrative Data 97%
  • Transaction Data 94%
  • transaction 74%
  • Side Effects 30%
  36 Citations (Scopus)

• Discussion on the Paper From Start to Finish: a Framework for the Production of small area official statistics” by Tzavidis et al.,

  Kumar, K., Sep 2018, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 181, 4, p. 966 1 p.

  Research output: Contribution to journal › Comment/debate › Research

  Open Access

  • Official Statistics 100%
  • official statistics 80%
  • Machine Learning 72%
  • Small Area Estimation 68%
  • Specification 38%
  17 Citations (Scopus)
• 2017

  Comments on the paper “Beyond subjective and objective in statistics” by Andrew Gelman and Christian Hennig

  Gepp, A., Aug 2017, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 180, 4, p. 1008

  Research output: Contribution to journal › Comment/debate › Research

  Open Access

• Comments on the paper “Beyond subjective and objective in statistics” by Andrew Gelman and Christian Hennig

  Kumar, K., Aug 2017, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 180, 4, p. 1011-1012 2 p.

  Research output: Contribution to journal › Comment/debate › Research

  Open Access
  53 Citations (Scopus)

• Comments on the paper “Sparse Graphs using Exchangeable Random Measures” by Caron & Fox

  Kumar, K., Sep 2017, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 79, 5, p. 1352-1353 2 p.

  Research output: Contribution to journal › Comment/debate › Research

  Open Access
• 2016

  Commentary to the article Out of focus or inappropriate paradigm choice: What happened to Management Research by S. Chakraborty

  Kumar, K., 2016, In: Journal of Applied Management. 8, 2, p. 57-59 3 p.

  Research output: Contribution to journal › Comment/debate › Research

• Comments on the paper Causal inference by using invariant prediction: identification and confidence intervals by Peters, Buhlmann and Meinshausen

  Kumar, K., Apr 2016, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 78, 5, p. 1000 1 p.

  Research output: Contribution to journal › Comment/debate › Research

  Open Access
• 1998

  Discussion at the meeting on 'Alternatives to economic statistics as indicators of national well-being'

  Kumar, K., 1998, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 161, 3, p. 309 1 p.

  Research output: Contribution to journal › Comment/debate › Research