This is a preview. Log in through your library . Abstract A set of n points in Euclidean space is partitioned into the k groups that minimize the within groups sum of squares. Under the assumption ...

Stochastic processes form the backbone of modern probability theory, describing systems that evolve randomly over time or space. They are instrumental in areas ranging from statistical physics to ...

This is a preview. Log in through your library . Abstract We prove a central limit theorem for the distance of the Brownian point on the universal cover of a compact negatively curved Riemannian ...

Animator Shuyi Chiou and the folks at CreatureCast give an adorable introduction to the central limit theorem – an important concept in probability theory that can reveal normal distributions (i.e.

Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...