D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 56 Citations 16,587 159 World Ranking 522 National Ranking 39

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Probability distribution
  • Random variable

Jonathan A. Tawn focuses on Extreme value theory, Econometrics, Statistics, Multivariate statistics and Joint probability distribution. The study incorporates disciplines such as Bivariate analysis, Univariate, Multivariate normal distribution and Tail dependence in addition to Extreme value theory. His research investigates the connection between Univariate and topics such as Applied mathematics that intersect with issues in Parametric model and Geostatistics.

Jonathan A. Tawn has researched Econometrics in several fields, including Point process, Current, Class, Limit and Markov chain. Jonathan A. Tawn studies Stochastic process which is a part of Statistics. He combines subjects such as Conditional probability distribution, Extrapolation and Asymptotic distribution with his study of Joint probability distribution.

His most cited work include:

  • Model-based Geostatistics. (1836 citations)
  • Statistics for near independence in multivariate extreme values (622 citations)
  • Dependence Measures for Extreme Value Analyses (606 citations)

What are the main themes of his work throughout his whole career to date?

Jonathan A. Tawn spends much of his time researching Extreme value theory, Econometrics, Statistics, Multivariate statistics and Applied mathematics. His research in Extreme value theory is mostly concerned with Generalized extreme value distribution. He focuses mostly in the field of Econometrics, narrowing it down to topics relating to Statistical model and, in certain cases, Operations research.

His study in the fields of Bivariate analysis, Marginal distribution, Estimator and Event under the domain of Statistics overlaps with other disciplines such as Statistical physics. Jonathan A. Tawn works mostly in the field of Multivariate statistics, limiting it down to topics relating to Extrapolation and, in certain cases, Limit, as a part of the same area of interest. His research integrates issues of Mathematical optimization, Parametric model, Combinatorics and Bayesian inference in his study of Applied mathematics.

He most often published in these fields:

  • Extreme value theory (60.44%)
  • Econometrics (29.12%)
  • Statistics (24.73%)

What were the highlights of his more recent work (between 2017-2021)?

  • Extreme value theory (60.44%)
  • Inference (15.38%)
  • Multivariate statistics (22.53%)

In recent papers he was focusing on the following fields of study:

His main research concerns Extreme value theory, Inference, Multivariate statistics, Econometrics and Statistical model. His Extreme value theory study deals with the bigger picture of Statistics. His studies in Inference integrate themes in fields like Storm track, Reversible-jump Markov chain Monte Carlo, Pooling and Natural hazard.

His study in the field of Univariate also crosses realms of Set, Statistical physics and Maxima. Many of his research projects under Econometrics are closely connected to Stopping rules and Flooding with Stopping rules and Flooding, tying the diverse disciplines of science together. His research investigates the connection between Statistical model and topics such as Spatial variability that intersect with problems in Linkage, Climate model, Climate change, Extreme weather and Stochastic modelling.

Between 2017 and 2021, his most popular works were:

  • Modelling spatial extreme events with environmental applications (21 citations)
  • Higher-dimensional spatial extremes via single-site conditioning (20 citations)
  • On spatial conditional extremes for ocean storm severity (11 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Probability distribution
  • Random variable

His scientific interests lie mostly in Extreme value theory, Multivariate statistics, Inference, Statistical model and Set. He has included themes like Conditional dependence, Spatial dependence and Marginal distribution in his Extreme value theory study. The various areas that Jonathan A. Tawn examines in his Multivariate statistics study include Risk analysis, River flood, Climatology and North sea.

His Inference research includes themes of Parametric statistics, Pooling, Climate change, Climate model and Spatial variability. His research in Statistical model intersects with topics in Econometrics and Linkage. His studies deal with areas such as Univariate, Missing data, Estimator and Joint probability distribution as well as Econometrics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Model-based Geostatistics

P. J. Diggle;J. A. Tawn;R. A. Moyeed.
(2008)

3804 Citations

Model-based Geostatistics

P. J. Diggle;J. A. Tawn;R. A. Moyeed.
(2008)

3804 Citations

Dependence Measures for Extreme Value Analyses

Stuart Coles;Janet Heffernan;Jonathan Tawn.
Extremes (1999)

935 Citations

Dependence Measures for Extreme Value Analyses

Stuart Coles;Janet Heffernan;Jonathan Tawn.
Extremes (1999)

935 Citations

Statistics for near independence in multivariate extreme values

Anthony W. Ledford;Jonathan A. Tawn.
Biometrika (1996)

891 Citations

Statistics for near independence in multivariate extreme values

Anthony W. Ledford;Jonathan A. Tawn.
Biometrika (1996)

891 Citations

Bivariate extreme value theory: Models and estimation

Jonathan A. Tawn.
Biometrika (1988)

752 Citations

Bivariate extreme value theory: Models and estimation

Jonathan A. Tawn.
Biometrika (1988)

752 Citations

Extreme Value Dependence in Financial Markets: Diagnostics, Models, and Financial Implications

Ser Huang Poon;Michael Rockinger;Jonathan Tawn.
Review of Financial Studies (2004)

719 Citations

A conditional approach for multivariate extreme values (with discussion)

Janet E. Heffernan;Jonathan A. Tawn.
Journal of The Royal Statistical Society Series B-statistical Methodology (2004)

702 Citations

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