What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Mathematical analysis
Jon A. Wellner mainly focuses on Estimator, Statistics, Applied mathematics, Asymptotic distribution and Censoring.
His research investigates the link between Estimator and topics such as Empirical process that cross with problems in Sample size determination.
His Applied mathematics study typically links adjacent topics like Nonparametric statistics.
Jon A. Wellner interconnects Upper and lower bounds, Fixed point, Mathematical analysis, Probability density function and Density estimation in the investigation of issues within Asymptotic distribution.
His Censoring study combines topics in areas such as Mathematical optimization and Expectation–maximization algorithm.
The study incorporates disciplines such as Oracle inequality and Additive hazards in addition to Weak convergence.
His most cited work include:
- Weak Convergence and Empirical Processes (3814 citations)
- Empirical processes with applications to statistics (2252 citations)
- Efficient and Adaptive Estimation for Semiparametric Models. (1398 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Applied mathematics, Estimator, Statistics, Combinatorics and Empirical process.
Jon A. Wellner has researched Applied mathematics in several fields, including Likelihood-ratio test, Mathematical optimization, Mathematical statistics and Censoring.
He combines subjects such as Rate of convergence, Fixed point, Pointwise and Minimax with his study of Estimator.
Statistics is closely attributed to Econometrics in his research.
Jon A. Wellner has included themes like Upper and lower bounds, Mathematical analysis and Random variable in his Combinatorics study.
His Mathematical analysis research is multidisciplinary, incorporating elements of Brownian bridge and Brownian motion.
He most often published in these fields:
- Applied mathematics (28.57%)
- Estimator (28.57%)
- Statistics (25.94%)
What were the highlights of his more recent work (between 2011-2021)?
- Estimator (28.57%)
- Applied mathematics (28.57%)
- Combinatorics (24.44%)
In recent papers he was focusing on the following fields of study:
Estimator, Applied mathematics, Combinatorics, Statistics and Pointwise are his primary areas of study.
His work carried out in the field of Estimator brings together such families of science as Empirical process, Limit, Moment and Probability measure.
His research in Applied mathematics intersects with topics in Parametric statistics, Regression analysis, Likelihood-ratio test, Consistency and Rate of convergence.
His Combinatorics research is multidisciplinary, relying on both Nonparametric regression, Upper and lower bounds, Linear regression and Exponent.
His Statistics study combines topics in areas such as Type and Quadratic growth.
Jon A. Wellner interconnects Uniform convergence, Density estimation, Mathematical optimization, Divergence and Wasserstein metric in the investigation of issues within Pointwise.
Between 2011 and 2021, his most popular works were:
- Log-Concavity and Strong Log-Concavity: a review. (116 citations)
- GLOBAL RATES OF CONVERGENCE OF THE MLES OF LOG-CONCAVE AND S CONCAVE DENSITIES (45 citations)
- WEIGHTED LIKELIHOOD ESTIMATION UNDER TWO-PHASE SAMPLING. (39 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Mathematical analysis
His primary areas of study are Applied mathematics, Estimator, Combinatorics, Asymptotic distribution and Rate of convergence.
He combines subjects such as Parametric statistics, Density estimation, Likelihood-ratio test, Interval and Consistency with his study of Applied mathematics.
His work in Consistency addresses issues such as Nonparametric statistics, which are connected to fields such as Brownian motion.
His research investigates the connection with Estimator and areas like Empirical process which intersect with concerns in Econometrics, Covariate, Current, Proportional hazards model and Sampling design.
The Combinatorics study combines topics in areas such as Upper and lower bounds and Bounded function.
Asymptotic distribution is a subfield of Statistics that Jon A. Wellner studies.
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