Stable Processes and Related Topics

Name: Stable Processes and Related Topics
Brand: Springer, Basel
SKU: 9781468467802
Price: 214.83 PLN
Availability: InStock

A Selection of Papers from the Mathematical Sciences Institute Workshop, January 9-13, 1990

Autor: ambanis

Język:

Oprawa: Miękka

Wydawca: Springer, Basel

Dostępność: Dostępna u dostawcy

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The Workshop on Stable Processes and Related Topics took place at Cor nell University in January 9-1...

Informacje o książce

Autor

ambanis

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

1991

strony

330

EAN

9781468467802

ISBN

1468467808

Enbook ID

02232880

Wydawca

Springer, Basel

Waga

499

Wymiary

152 x 229 x 18

Pełny opis

The Workshop on Stable Processes and Related Topics took place at Cor nell University in January 9-13, 1990, under the sponsorship of the Mathemat ical Sciences Institute. It attracted an international roster of probabilists from Brazil, Japan, Korea, Poland, Germany, Holland and France as well as the U. S. This volume contains a sample of the papers presented at the Workshop. All the papers have been refereed. Gaussian processes have been studied extensively over the last fifty years and form the bedrock of stochastic modeling. Their importance stems from the Central Limit Theorem. They share a number of special properties which facilitates their analysis and makes them particularly suitable to statistical inference. The many properties they share, however, is also the seed of their limitations. What happens in the real world away from the ideal Gaussian model? The non-Gaussian world may contain random processes that are close to the Gaussian. What are appropriate classes of nearly Gaussian models and how typical or robust is the Gaussian model amongst them? Moving further away from normality, what are appropriate non-Gaussian models that are sufficiently different to encompass distinct behavior, yet sufficiently simple to be amenable to efficient statistical inference? The very Central Limit Theorem which provides the fundamental justifi cation for approximate normality, points to stable and other infinitely divisible models. Some of these may be close to and others very different from Gaussian models.

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Stable Processes and Related Topics

A Selection of Papers from the Mathematical Sciences Institute Workshop, January 9-13, 1990

Informacje o książce

Pełny opis

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