1975 - Fellow of John Simon Guggenheim Memorial Foundation
1974 - Member of the National Academy of Sciences
1969 - Wald Memorial Lecturer
1952 - Fellow of John Simon Guggenheim Memorial Foundation
1950 - Fellow of the American Association for the Advancement of Science (AAAS)
Herbert Robbins spends much of his time researching Statistics, Random variable, Combinatorics, Mathematical optimization and Distribution function. Herbert Robbins combines subjects such as Composition, Statistical theory and Quantities of information with his study of Random variable. The study incorporates disciplines such as Stirling engine, Stirling's approximation, Sequence and Algebra in addition to Combinatorics.
His work in Multivariate random variable addresses issues such as Marginal distribution, which are connected to fields such as Applied mathematics. His Minimax approximation algorithm study in the realm of Applied mathematics connects with subjects such as Stochastic approximation. His Constant research integrates issues from Expected value, Continuous-time stochastic process, Stochastic optimization and Monotonic function.
His primary scientific interests are in Statistics, Random variable, Combinatorics, Applied mathematics and Bayes' theorem. Herbert Robbins interconnects Discrete mathematics, Probability distribution, Sequence and Distribution function in the investigation of issues within Random variable. His Combinatorics study also includes
Mean squared error and Sequential estimation is closely connected to Estimator in his research, which is encompassed under the umbrella topic of Applied mathematics. Herbert Robbins has included themes like Mathematical economics, Prior probability, Mathematical optimization and Econometrics in his Bayes' theorem study. In the subject of general Mathematical optimization, his work in Optimal stopping is often linked to Mathematical finance, thereby combining diverse domains of study.
His primary areas of study are Statistics, Bayes' theorem, Econometrics, Mathematical optimization and Applied mathematics. His biological study spans a wide range of topics, including Center and Constant. His work deals with themes such as Class and Sequential analysis, which intersect with Econometrics.
His Mathematical optimization study integrates concerns from other disciplines, such as Stopping time and Thompson sampling. His Applied mathematics research incorporates elements of M-estimator, Probability density function, Restricted maximum likelihood, Random variable and Poisson distribution. The Sampling study combines topics in areas such as Expected value, Estimator and Randomness.
Herbert Robbins mostly deals with Statistics, Mathematical optimization, Bayes' theorem, Sampling and Applied mathematics. His work on Outcome, Binomial and Multinomial distribution as part of general Statistics research is often related to Negative multinomial distribution and Empirical probability, thus linking different fields of science. His Mathematical optimization research is multidisciplinary, incorporating elements of Stopping time and Thompson sampling.
His Bayes' theorem research is multidisciplinary, relying on both Prior probability, Null hypothesis, Econometrics and Random variable. His Sampling study incorporates themes from Sample, Sequential estimation, Estimator and Constant. His study of Applied mathematics brings together topics like Stochastic approximation and Set.
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.
A Stochastic Approximation Method
Herbert Robbins;Sutton Monro.
Annals of Mathematical Statistics (1951)
Asymptotically efficient adaptive allocation rules
T.L Lai;Herbert Robbins.
Advances in Applied Mathematics (1985)
Some aspects of the sequential design of experiments
Bulletin of the American Mathematical Society (1952)
An Empirical Bayes Approach to Statistics
Herbert E. Robbins.
Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Contributions to the Theory of Statistics (1956)
Complete Convergence and the Law of Large Numbers
P. L. Hsu;Herbert Robbins.
Proceedings of the National Academy of Sciences of the United States of America (1947)
Great expectations: The theory of optimal stopping
Yuan Shih Chow;Herbert Ellis Robbins;David Siegmund.
What Is Mathematics
Richard Courant;Herbert Robbins.
A Remark on Stirling’s Formula
American Mathematical Monthly (1955)
The Empirical Bayes Approach to Statistical Decision Problems
Annals of Mathematical Statistics (1964)
The Central Limit Theorem for Dependent Random Variables
Wassily Hoeffding;Herbert Robbins.
Duke Mathematical Journal (1948)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: