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Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression....

In probability theory and related fields, Malliavin calculus is a set of mathematical techniques and ideas that extend the mathematical field of calculus...

In probability and business statistics, the Bates distribution, named after Grace Bates, is a probability distribution of the mean of a number of statistically...

In mathematics, loop-erased random walk is a model for a random simple path with important applications in combinatorics, physics and quantum field theory...

Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models that exhibit...

In physics, chemistry, and related fields, master equations are used to describe the time evolution of a system that can be modeled as being in a probabilistic...

In mathematics, the additive polynomials are an important topic in classical algebraic number theory. Let k be a field of prime characteristic p. A polynomial...