Richard Price, Bayes’ theorem, and God

  title={Richard Price, Bayes’ theorem, and God},
  author={Martyn Hooper},
Bayes’ theorem is 250 years old this year. But did the Rev. Thomas Bayes actually devise it? Martyn Hooper presents the case for the extraordinary Richard Price, friend of US presidents, mentor, pamphleteer, economist, and above all preacher. And did Price develop Bayes’ theorem in order to prove the existence of God? 

Computing Bayes: Bayesian Computation from 1763 to the 21st Century

This paper takes the reader on a chronological tour of Bayesian computation over the past two and a half centuries, and place all computational problems into a common framework, and describe all computational methods using a common notation.

The Paradigm of Complex Probability and Thomas Bayes’ Theorem

  • Abdo Abou Jaoude
  • Mathematics
    The Monte Carlo Methods - Recent Advances, New Perspectives and Applications [Working Title]
  • 2021
The mathematical probability concept was set forth by Andrey Nikolaevich Kolmogorov in 1933 by laying down a five-axioms system. This scheme can be improved to embody the set of imaginary numbers

Ecological Invalidity of Existing Gaydar Research: In-Lab Accuracy Translates to Real-World Inaccuracy: Response to Rule, Johnson, & Freeman (2016)

Although past claims about accurate orientation perception are misleading, the work that gave rise to those claims can nevertheless inform the literature in meaningful ways and is offered some recommendations for how the evidence in past “gaydar” research can be reappraised to inform the understanding of social perception and group similarities/differences.

Model-based Bayesian analysis in acoustics-A tutorial.

  • N. Xiang
  • Computer Science
    The Journal of the Acoustical Society of America
  • 2020
This paper introduces Bayesian probability theory on a tutorial level, including fundamental rules for manipulating the probabilities, and the principle of maximum entropy for assignment of necessary probabilities prior to the data analysis.

New Computer Assisted Diagnostic to Detect Alzheimer Disease

A new Computer Assisted Diagnosis to automatically detect Alzheimer Patients, Mild Cognitive Impairment and elderly Controls, based on the segmentation and classification of the Hippocampus and Corpus Calosum from Magnetic Resonance Images (MRI).

IMMM 2016 Proceedings

1D-based ensemble method for semi-supervised learning (SSL) that integrates the classifier based on data 1-D representations and label boosting in a serial ensemble is developed.

Practical Application of the Data Preprocessing Method for Kohonen Neural Networks in Pattern Recognition Tasks

A SOM improved model has been developed that exceeds the standard model in terms of the recognition results accuracy and the learning time and is encouraged to be used to develop a smart approach (SmartMaps) of Geographic Information Systems (GIS).

Towards a New Approach to Improve the Classification Accuracy of the Kohonen’s Self-Organizing Map During Learning Process

A new approach to improve the accuracy and quality of the classification method based on the basic advantages of the Kohonen self-organization algorithm and on new network functions to pre-eliminate the auto-detected of drawbacks and redundancy is provided.

Computing Bayes: From Then 'Til Now'

The key contributions of Laplace, Metropolis, Hammersley and Handscomb, and Hastings are high-light, all of which set the foundations for the computational revolution in the late 20th century — led, primarily, by Markov chain Monte Carlo (MCMC) algorithms.



The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy

In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it, which is used everywhere from DNA decoding to Homeland Security.

An essay towards solving a problem in the doctrine of chances

  • T. Bayes
  • Education
    M.D. computing : computers in medical practice
  • 1991
The probability of any event is the ratio between the value at which an expectation depending on the happening of the event ought to be computed, and the value of the thing expected upon it’s 2 happening.

The History of Statistics in the 17th and 18th Centuries, Lectures by Karl Pearson

  • 1978