Long-memory processes

J Beran, Y Feng, S Ghosh, R Kulik - Long-Mem. Process, 2013 - Springer
Long-memory, or more generally fractal, processes are known to play an important role in
many scientific disciplines and applied fields such as physics, geophysics, hydrology …

[LLIBRE][B] GARCH models: structure, statistical inference and financial applications

C Francq, JM Zakoian - 2019 - books.google.com
Provides a comprehensive and updated study of GARCH models and their applications in
finance, covering new developments in the discipline This book provides a comprehensive …

Springer series in statistics

P Bickel, P Diggle, S Fienberg, U Gather, I Olkin… - Principles and Theory …, 2009 - Springer
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

[LLIBRE][B] Statistics of extremes: theory and applications

J Beirlant, Y Goegebeur, J Segers, JL Teugels - 2006 - books.google.com
Research in the statistical analysis of extreme values has flourished over the past decade:
new probability models, inference and data analysis techniques have been introduced; and …

[LLIBRE][B] Nonlinear time series: nonparametric and parametric methods

J Fan, Q Yao - 2008 - books.google.com
Amongmanyexcitingdevelopmentsinstatistic…, nonlineartimeseriesanddata-
analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths. In …

[LLIBRE][B] Heavy-tail phenomena: probabilistic and statistical modeling

SI Resnick - 2007 - books.google.com
This comprehensive text gives an interesting and useful blend of the mathematical,
probabilistic and statistical tools used in heavy-tail analysis. Heavy tails are characteristic of …

[LLIBRE][B] Heavy-tailed time series

R Kulik, P Soulier - 2020 - Springer
This book is concerned with extreme value theory for stochastic processes whose finite-
dimensional distributions are heavy-tailed in the restrictive sense of regular variation. These …

Stochastic models with power-law tails

D Buraczewski, E Damek, T Mikosch - The equation X= AX+ B. Cham …, 2016 - Springer
Dariusz Buraczewski Ewa Damek Thomas Mikosch The Equation X = AX + B Page 1
Springer Series in Operations Research and Financial Engineering Dariusz Buraczewski …

[PDF][PDF] Financial Economics, Fat-Tailed Distributions.

M Haas, C Pigorsch - Encyclopedia of Complexity and Systems …, 2009 - academia.edu
This article reviews some of the most important concepts and distributional models that are
used in empirical finance to capture the (almost) ubiquitous stochastic properties of returns …

The extremogram: A correlogram for extreme events

RA Davis, T Mikosch - 2009 - projecteuclid.org
We consider a strictly stationary sequence of random vectors whose finite-dimensional
distributions are jointly regularly varying with some positive index. This class of processes …