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Long-memory processes
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 …
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 …
finance, covering new developments in the discipline This book provides a comprehensive …
Springer series in statistics
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 …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
[LLIBRE][B] Statistics of extremes: theory and applications
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 …
new probability models, inference and data analysis techniques have been introduced; and …
[LLIBRE][B] Nonlinear time series: nonparametric and parametric methods
Amongmanyexcitingdevelopmentsinstatistic…, nonlineartimeseriesanddata-
analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths. In …
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 …
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 …
dimensional distributions are heavy-tailed in the restrictive sense of regular variation. These …
Stochastic models with power-law tails
Dariusz Buraczewski Ewa Damek Thomas Mikosch The Equation X = AX + B Page 1
Springer Series in Operations Research and Financial Engineering Dariusz Buraczewski …
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 …
used in empirical finance to capture the (almost) ubiquitous stochastic properties of returns …
The extremogram: A correlogram for extreme events
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 …
distributions are jointly regularly varying with some positive index. This class of processes …