Paul Kabaila

1.2k total citations
81 papers, 754 citations indexed

About

Paul Kabaila is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Paul Kabaila has authored 81 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Paul Kabaila's work include Statistical Methods and Inference (41 papers), Statistical Methods and Bayesian Inference (30 papers) and Advanced Statistical Methods and Models (28 papers). Paul Kabaila is often cited by papers focused on Statistical Methods and Inference (41 papers), Statistical Methods and Bayesian Inference (30 papers) and Advanced Statistical Methods and Models (28 papers). Paul Kabaila collaborates with scholars based in Australia, United States and Sri Lanka. Paul Kabaila's co-authors include Chris J. Lloyd, John Byrne, Khageswor Giri, Hannes Leeb, Graham C. Goodwin, A. H. Welsh, G. Nelson, T. Lwin and Tung Sang Ng and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control.

In The Last Decade

Paul Kabaila

79 papers receiving 710 citations

Peers

Paul Kabaila
Tak K. Mak Canada
Pavel Čı́žek Netherlands
Lawrence A. Klimko United States
Paul Kabaila
Citations per year, relative to Paul Kabaila Paul Kabaila (= 1×) peers Edit Gombay

Countries citing papers authored by Paul Kabaila

Since Specialization
Citations

This map shows the geographic impact of Paul Kabaila's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paul Kabaila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Kabaila more than expected).

Fields of papers citing papers by Paul Kabaila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Kabaila. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paul Kabaila. The network helps show where Paul Kabaila may publish in the future.

Co-authorship network of co-authors of Paul Kabaila

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Kabaila. A scholar is included among the top collaborators of Paul Kabaila based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Kabaila. Paul Kabaila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kabaila, Paul, et al.. (2023). Confidence intervals in general regression models that utilize uncertain prior information. Communication in Statistics- Theory and Methods. 53(17). 6266–6284. 1 indexed citations
2.
Kabaila, Paul, et al.. (2019). Finite sample properties of confidence intervals centered on a model averaged estimator. Journal of Statistical Planning and Inference. 207. 10–26. 1 indexed citations
3.
Kabaila, Paul, et al.. (2019). Confidence intervals centred on bootstrap smoothed estimators. Australian & New Zealand Journal of Statistics. 61(1). 19–38. 3 indexed citations
4.
Kabaila, Paul, et al.. (2019). On confidence intervals centred on bootstrap smoothed estimators. Stat. 8(1). 2 indexed citations
5.
Kabaila, Paul, et al.. (2018). Two sources of poor coverage of confidence intervals after model selection. Statistics & Probability Letters. 140. 185–190. 3 indexed citations
6.
Kabaila, Paul, et al.. (2018). Estimation risk for value-at-risk and expected shortfall. The Journal of Risk. 2 indexed citations
7.
Kabaila, Paul, et al.. (2017). Conditional assessment of the impact of a Hausman pretest on confidence intervals. Statistica Neerlandica. 71(4). 240–262. 1 indexed citations
8.
Kabaila, Paul & Khageswor Giri. (2013). Further Properties of Frequentist Confidence Intervals in Regression that Utilize Uncertain Prior Information. Australian & New Zealand Journal of Statistics. 55(3). 259–270. 6 indexed citations
9.
Kabaila, Paul, et al.. (2007). The Relative Efficiency of Prediction Intervals. Communication in Statistics- Theory and Methods. 36(15). 2673–2686. 3 indexed citations
10.
Kabaila, Paul. (2005). Assessment of a Preliminary F-Test Solution to the Behrens-Fisher Problem. Communication in Statistics- Theory and Methods. 34(2). 291–302. 3 indexed citations
11.
Byrne, John & Paul Kabaila. (2005). Comparison of Poisson Confidence Intervals. Communication in Statistics- Theory and Methods. 34(3). 545–556. 19 indexed citations
12.
Kabaila, Paul. (2003). A Large Sample Approximation to the Profile Plug-in Upper Confidence Limit. Acta Applicandae Mathematicae. 78(1-3). 185–192. 3 indexed citations
13.
Kabaila, Paul & Chris J. Lloyd. (2002). The Importance of the Designated Statistic on Buehler Upper Limits on a System Failure Probability. Technometrics. 44(4). 390–395. 19 indexed citations
14.
Byrne, John & Paul Kabaila. (2001). SHORT EXACT CONFIDENCE INTERVALS FOR THE POISSON MEAN. Communication in Statistics- Theory and Methods. 30(2). 257–261. 7 indexed citations
15.
Kabaila, Paul. (2001). Theory & Methods: On the Order of Data Reductions by Ancillarity and by Sufficiency. Australian & New Zealand Journal of Statistics. 43(3). 299–301.
16.
Kabaila, Paul & Chris J. Lloyd. (2000). A computable confidence upper limit from discrete data with good coverage properties. Statistics & Probability Letters. 47(2). 189–198. 6 indexed citations
17.
Kabaila, Paul. (1998). The Choice of Statistic on Which to Base Tight Upper Confidence Limits. Australian & New Zealand Journal of Statistics. 40(2). 189–196. 10 indexed citations
18.
Kabaila, Paul. (1993). A Method for the Computer Calculation of Edgeworth Expansions for Smooth Function Models. Journal of Computational and Graphical Statistics. 2(2). 199–207. 1 indexed citations
19.
Kabaila, Paul & G. Nelson. (1985). On confidence regions for the mean of a multivariate time series. Communication in Statistics- Theory and Methods. 14(3). 735–753. 9 indexed citations
20.
Goodwin, Graham C., Paul Kabaila, & Tung Sang Ng. (1975). On the optimization of vector-valued performance criteria. IEEE Transactions on Automatic Control. 20(6). 803–804. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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