While implementing a quick toy example of Crane and Sawhney's really great Monte Carlo Geometry Processing paper, the question arose about whether a quick function I grabbed from The Internet to equally distribute points on a sphere was correct or not. Since it's absolutely the crux of the method, this is an important question! This notebook performs a rather unscientific check for equal distribution of points on the surface of a sphere. It uses the first algorithm from MathWorld
While implementing a quick toy example of Crane and Sawhney's really great Monte Carlo Geometry Processing paper, the question arose about whether a quick function I grabbed from The Internet to equally distribute points on a sphere was correct or not. Since it's absolutely the crux of the method, this is an important question! This notebook performs a rather unscientific check for equal distribution of points on the surface of a sphere. It uses the first algorithm from MathWorld: Sphere Point Picking. Foll
- Robust and stochastic optimization
- Convex analysis
- Linear programming
- Monte Carlo simulation
- Model-based estimation
- Matrix algebra review
- Probability and statistics basics
On April 17, 1761, English mathematician and Presbyterian minister Thomas Bayes passed away. He is best known as name giver of the Bayes' theorem, of which he had developed a special case. It expresses (in the Bayesian interpretation) how a subjective degree of belief should rationally change to account for evidence, and finds application in in fields including science, engineering, economics (particularly microeconomics), game theory, medicine and law.
Advances in Pure Mathematics (APM) is an international journal dedicated to the latest advancement of ordered algebraic structures. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of ordered algebraic structures.
Applied Mathematics (AM) is an international journal dedicated to the latest advancement of applied mathematics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of applied mathematics.
The goal of this project is to provide free, high quality, interactive, web-based resources for students and teachers of probability and statistics. Basically, our project consists of an integrated set of components that includes expository text, applets, data sets, biographical sketches, and an object library. Please read the Introduction for more information about the content, structure, mathematical prerequisites, and organization of the project. Technologies and Browser Requirements This site uses a number of advanced (but open and standard) technologies, including the Mathematics Markup Language (MathML), for portable and notationally correct mathematical expressions, and Java for the applets. See the Introduction for more information about the technologies used.
Web site for statistical computation; probability; linear correlation and regression; chi-square; t-procedures; t-tests; analysis of variance; ANOVA; analysis of covariance; ANCOVA; parametric; nonparametric; binomial; normal distribution; Poisson distribution; Fisher exact; Mann-Whitney; Wilcoxon; Kruskal-Wallis; Richard Lowry, Vassar College
Each year the JHEPS lists the books and articles on the history of probability and statistics that have appeared in the previous year. The list of 2007 publications is due to appear in February 2008. Of course, omissions can be made good at any time and, if you know of any in the list below, please contact me, John Aldrich
Berkeley Symposium on Mathematical Statistics and Probability
Proceedings of the Berkeley Symposium on Mathematical Statistics and Probability held at the Statistical Laboratory, University of California, Berkeley, Calif. during the period 1945-1972.
ISSN: 0097-0433
Subjects:
Mathematical statistics--Congresses
Probabilities
Bayesian probability is an interpretation of probability suggested by Bayesian theory, which holds that the concept of probability can be defined as the degree to which a person believes a proposition. Bayesian theory also suggests that Bayes' theorem can
Gaussian perspective of the world = built on atomism, privileging stability over instability, structure over process, objects over fields, and being over becoming. Paretian world = much more dynamic view of the world; looks for patterns in evolving relati