1.

Record Nr.

UNINA9910699939503321

Autore

Kline J. D

Titolo

Land use planning ballot initiatives in the Pacific Northwest [[electronic resource] /] / Jeffrey D. Kline and Eric M. White, technical editors

Pubbl/distr/stampa

Portland, OR : , : U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, , [2010]

Descrizione fisica

1 online resource (iii, 55 pages) : color maps

Collana

General technical report PNW ; ; GTR-829

Altri autori (Persone)

WhiteEric M

Soggetti

Land use, Rural - Oregon - Planning - Public opinion

Land use, Rural - Washington (State) - Planning - Public opinion

Referendum - Oregon

Referendum - Washington (State)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Title from title screen (viewed on Feb. 25, 2011).

"November 2010."



2.

Record Nr.

UNINA9910734836003321

Autore

Tudor Ciprian

Titolo

Non-Gaussian Selfsimilar Stochastic Processes / / by Ciprian Tudor

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

3-031-33772-7

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (110 pages)

Collana

SpringerBriefs in Probability and Mathematical Statistics, , 2365-4341

Disciplina

519.2

Soggetti

Probabilities

Probability Theory

Applied Probability

Processos gaussians

Integrals estocĂ stiques

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Chapter 1. Multiple Stochastic Integrals -- Chapter 2. Hermite processes: Definition and basic properties -- Chapter 3. The Wiener integral with respect to the Hermite process and the Hermite Ornstein-Uhlenbeck process -- Chapter 4. Hermite sheets and SPDEs -- Chapter 5. Statistical inference for stochastic (partial) differential equations with Hermite noise -- References.

Sommario/riassunto

This book offers an introduction to the field of stochastic analysis of Hermite processes. These selfsimilar stochastic processes with stationary increments live in a Wiener chaos and include the fractional Brownian motion, the only Gaussian process in this class. Using the Wiener chaos theory and multiple stochastic integrals, the book covers the main properties of Hermite processes and their multiparameter counterparts, the Hermite sheets. It delves into the probability distribution of these stochastic processes and their sample paths, while also presenting the basics of stochastic integration theory with respect to Hermite processes and sheets. The book goes beyond theory and provides a thorough analysis of physical models driven by Hermite noise, including the Hermite Ornstein-Uhlenbeck process and the solution to the stochastic heat equation driven by such a random



perturbation. Moreover, it explores up-to-date topics central to current research in statistical inference for Hermite-driven models.