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A table made by subtracting adjacent entries in a sequence, then repeating the process with those numbers.

The process of computing or obtaining an integral. A more archaic term for integration is quadrature.

Vector subtraction is the process of taking a vector difference, and is the inverse operation to vector addition.

An optimal filter used for the removal of noise from a signal which is corrupted by the measuring process itself.

The probability law on the space of continuous functions g with g(0)=0, induced by the Wiener process.

There are at least two distinct notions of when a point process is stationary. The most commonly utilized terminology is as follows: Intuitively, a point process X defined on ...

A random process whose future probabilities are determined by its most recent values. A stochastic process x(t) is called Markov if for every n and t_1<t_2...<t_n, we have ...

A point process N is called self-correcting if cov(N(s,t),N(t,u))<0 for s<t<u where here, cov denotes the covariance of the two quantities. Intuitively, a process is ...

A point process N is called self-exciting if cov(N(s,t),N(t,u))>0 for s<t<u where here, cov denotes the covariance of the two quantities. Intuitively, a process is ...

The process used to generate an expression for a covariant in the first degree of any one of the equivalent sets of coefficients for a curve.