What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Machine learning
Statistics, Econometrics, Extreme value theory, Generalized extreme value distribution and Estimation are his primary areas of study.
His work on Generalized Pareto distribution, Point process and Random field is typically connected to Maxima and Process as part of general Statistics study, connecting several disciplines of science.
His Econometrics study integrates concerns from other disciplines, such as Smoothing, Bootstrap aggregating, Machine learning, Artificial intelligence and Web of science.
His Extreme value theory research is multidisciplinary, incorporating perspectives in Statistical model and Spatial dependence.
His research investigates the connection between Spatial dependence and topics such as Climatology that intersect with issues in Inference.
His work investigates the relationship between Generalized extreme value distribution and topics such as Estimation theory that intersect with problems in Resampling.
His most cited work include:
- Bootstrap Methods and Their Application (5477 citations)
- Models for exceedances over high thresholds (1051 citations)
- Statistical Modeling of Spatial Extremes (399 citations)
What are the main themes of his work throughout his whole career to date?
Anthony C. Davison mainly focuses on Statistics, Econometrics, Inference, Extreme value theory and Applied mathematics.
Econometrics and Series are two areas of study in which he engages in interdisciplinary work.
His Inference study also includes fields such as
- Bayesian probability, which have a strong connection to Cluster analysis,
- Bayesian inference that intertwine with fields like Data mining.
His research in Extreme value theory intersects with topics in Geostatistics, Climatology, Atmospheric sciences and Statistical model.
His Middle latitudes study in the realm of Atmospheric sciences connects with subjects such as Volcano.
His Applied mathematics research includes themes of Extrapolation, Logistic regression and Mathematical optimization.
He most often published in these fields:
- Statistics (27.70%)
- Econometrics (20.66%)
- Inference (19.25%)
What were the highlights of his more recent work (between 2014-2021)?
- Inference (19.25%)
- Statistics (27.70%)
- Univariate (5.63%)
In recent papers he was focusing on the following fields of study:
Anthony C. Davison mainly investigates Inference, Statistics, Univariate, Multivariate statistics and Estimator.
His Inference research integrates issues from Feature selection, Generalized Pareto distribution and Bayesian probability, Bayesian inference.
His work carried out in the field of Generalized Pareto distribution brings together such families of science as Econometrics and Random variable.
Anthony C. Davison has researched Bayesian inference in several fields, including Simulated annealing, Data mining and Regression.
His research integrates issues of Structural basin, Extreme events and Euclidean distance in his study of Statistics.
His Univariate study also includes
- Locus that intertwine with fields like Replicate,
- Statistical physics together with Limit, Extreme value theory, Gumbel distribution and Range.
Between 2014 and 2021, his most popular works were:
- Statistics of Extremes (79 citations)
- Extremes on river networks (75 citations)
- Likelihood estimators for multivariate extremes (56 citations)
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