Centre for Data Analytics

Research output

Research output per year 1986 2018 2019 2020 2021 2022 2023 2023

• 1761 Citations
• 22 h-index
• 173 Article
• 31 Conference contribution
• 30 Abstract
• 21 Comment/debate/opinion
• 101 More
  • 19 Chapter
  • 17 Presentation
  • 15 Book/Film/Article review
  • 10 Paper
  • 5 Scholarly edition
  • 5 Poster
  • 4 Meeting Abstract
  • 4 Review article
  • 3 Other chapter contribution
  • 3 Magazine Article
  • 3 Software
  • 2 Book
  • 2 Digital or Visual Products
  • 1 Other report
  • 1 Foreword/postscript
  • 1 Other
  • 1 Editorial
  • 1 Special issue
  • 1 Discipline Preprint Repository
  • 1 Other contribution
  • 1 Submission to government
  • 1 Patent

Research output per year

Research output per year

Search results

• 2023

  Foreign direct investment and inclusive green growth in Africa: Energy efficiency contingencies and thresholds: Comment

  Acheampong, A. O., Oct 2023, In: Energy Economics. 126, p. 1-18 18 p., 107019.

  Research output: Contribution to journal › Comment/debate/opinion › Research › peer-review

  Open Access

  • Foreign Direct Investment 100%
  • Green Growth 82%
  • Energy Efficiency 60%
  • Contingency 59%
  • Energy efficiency 49%

• Kuldeep Kumar's contribution to the Discussion of ‘Experimental evaluation of algorithm-assisted human-decision-making: application to pretrial public safety assessment’ by Imai et al.

  Kumar, K., 21 Feb 2023, In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 186, 2, 1 p.

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

  Open Access

  • Safety Assessment 100%
  • Experimental Evaluation 82%
  • Public Safety 81%
  • Justice 58%
  • Decision Making 57%

• Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng

  Kumar, K., 3 Apr 2023, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 85, 4, p. 1084-1084 1 p.

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

  Open Access

  • Statistical Inference 100%
  • Principal Component Analysis 97%
  • Factor Analysis 90%
  • Data analysis 32%
  • Data Reduction 24%
• 2022

  Kuldeep Kumar’s contribution to the Discussion of ‘Assumption-lean inference for generalised linear model parameters’ by Vansteelandt and Dukes

  Kumar, K., Jul 2022, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 84, 3, p. 712-713 2 p.

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

  Open Access

  File
  30 Downloads (Pure)

• Kuldeep Kumar’s first contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of the Covid-19 pandemic’

  Kumar, K., 18 Nov 2022, (E-pub ahead of print) In: Journal of the Royal Statistical Society. Series A: Statistics in Society. p. 19-20

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

  Open Access

• Kuldeep Kumar’s second contribution to the Discussion of ‘The First Discussion Meeting on Statistical aspects of the Covid-19 pandemic’

  Kumar, K., 18 Nov 2022, (E-pub ahead of print) In: Journal of the Royal Statistical Society. Series A: Statistics in Society. p. 20-21

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

  Open Access
• 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/opinion › 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/opinion › 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/opinion › Research

  Open Access

  • Rice 100%
  • statistical test 90%
  • Statistical test 81%
  • Statistical Tests 54%
  • Expected Utility 51%

• 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/opinion › Research

  Open Access

  • Systems Analysis 100%
  • slavery 97%
  • systems analysis 97%
  • Bayesian Approach 94%
  • Visualization 89%
  23 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/opinion › Research

  • Logistic regression 100%
  • Random forests 94%
  • Decision trees 87%
  • Learning algorithms 74%
  • Data structures 74%
• 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/opinion › Research

  • Editor 100%
  • Experiment 83%
  • Climate Change 47%
  • Global Warming 33%
  • Temperature 32%

• 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/opinion › Research

  • editor 100%
  • innovation 74%
• 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/opinion › Research

  Open Access

  • Transactions 100%
  • Administrative Data 95%
  • Transaction Data 93%
  • transaction 74%
  • Side Effects 30%
  71 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., Sept 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/opinion › Research

  Open Access

  • Official Statistics 100%
  • Machine Learning 85%
  • official statistics 80%
  • Small Area Estimation 68%
  • Specification 38%
  43 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/opinion › 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/opinion › Research

  Open Access
  102 Citations (Scopus)

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

  Kumar, K., Sept 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/opinion › 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/opinion › 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/opinion › 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/opinion › Research