Algebraic Methods in Statistics and Probability II

By M. Viana, Henry P. Wynn. 2001

49 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/c1717e38999ce6b75a9d75518434c2d157949cd6

How researchers see this paper

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

In Computational Theory and Mathematics

1. Mathias Drton
2. Seth Sullivant
3. Frédéric Chazal
4. Bertrand Michel
5. Bernd Sturmfels
6. Adam Van Tuyl
7. Christopher J. Hillar

Citations in the corpus

• Algebraic statistical models (2007, background): “Algebra has seen many applications in statistics (e.g. Diaconis, 1988; Viana and Richards, 2001), but it is only rather recently that computational algebraic geometry and related techniques in commutative algebra and combinatorics have been used to study statistical models and inference problems.”
• An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists (2017, methodology): “[Chazal et al. (2015a)] Let X ∼ µ ⊗ m and Y ∼ ν ⊗ m , where µ and ν are two probability measures on M . have For any p ≥ 1 we where W p is the p th Wasserstein distance on M .”