A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

By A. Hald. 2006

105 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5f0903fe09d54fa9eef53be505afe3e6332eeaaf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. D. R. Cox
2. Eugene Seneta
3. A. C. Davison
4. Chandra R. Bhat
5. Nanny Wermuth
6. Cristiano Varin

In Statistical and Nonlinear Physics

1. D. R. Cox
2. Eugene Seneta
3. Alexander Yur'evich Veretennikov
4. Michael G. Rabbat
5. Konstantinos I. Tsianos
6. Tatiana Nagnibeda
7. Ilya Kapovich
8. S. Kirkland

In Statistics and Probability

1. D. R. Cox
2. Eugene Seneta
3. A. C. Davison
4. Chandra R. Bhat
5. Nanny Wermuth
6. Cristiano Varin
7. Ryan Martin
8. Anthony N. Burkitt

Citations in the corpus

• A Tricentenary history of the Law of Large Numbers (2013, background): “Nicolaus, Pierre Rémond de Montmort (1678–1719) and Abraham De Moivre (1667–1754) were the three leading figures in what Hald (2007) calls “the great leap forward” in stochastics, which is how Hald describes the period from 1708 to the first edition of De Moivre’s (1718) Doctrine of Chances.”
• Principles of Statistical Inference (2006, background): “Hall and Wang (2005) discuss Bayesian estimation of the end-point of a distribution.”