ガウス過程
1. Gaussian processIn probability theory and statistics, a Gaussian process is a stochastic process whose realizations consist of random values associated with every point in a range of times (or of space) such that each such random variable has a normal distribution. Moreover, every finite collection of those random variables has a multivariate normal distribution. Gaussian processes are important in statistical modelling because of properties inherited from the normal.
Read “Gaussian process” on English Wikipedia
Read “ガウス過程” on Japanese Wikipedia
Read “Gaussian process” on DBpedia
Read “Gaussian process” on English Wikipedia
Read “ガウス過程” on Japanese Wikipedia
Read “Gaussian process” on DBpedia
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