Gaussian Random Functions - M. A. Lifshits
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It is well known that the normal distribution is the most pleasant, one can even say, an exemplary object in the probability theory. It combines almost all conceivable nice properties that a distribution may ever have: symmetry, stability, indecomposability, a regular tail behavior, etc. Gaussian measures (the distributions of Gaussian random functions), as infinite-dimensional analogues of tht
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Description
It is well known that the normal distribution is the most pleasant, one can even say, an exemplary object in the probability theory. It combines almost all conceivable nice properties that a distribution may ever have: symmetry, stability, indecomposability, a regular tail behavior, etc. Gaussian measures (the distributions of Gaussian random functions), as infinite-dimensional analogues of tht
More Information
| Author | M. A. Lifshits |
|---|---|
| Publisher | Springer Netherlands |
| Series | Mathematics and Its Applications |
| Release year | 2010 |
| Cover type | Softcover |
| EAN | 9789048145287 |