[PDF][PDF] Fractal time series—a tutorial review
M Li - Mathematical Problems in Engineering, 2010 - kurims.kyoto-u.ac.jp
Fractal time series substantially differs from conventional one in its statistic properties. For
instance, it may have a heavy-tailed probability distribution function PDF, a slowly decayed …
instance, it may have a heavy-tailed probability distribution function PDF, a slowly decayed …
Regression to the tail: Why the Olympics blow up
The Olympic Games are the largest, highest-profile, and most expensive megaevent hosted
by cities and nations. Average sports-related costs of hosting are $12.0 billion. Non-sports …
by cities and nations. Average sports-related costs of hosting are $12.0 billion. Non-sports …
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 …
[KSIĄŻKA][B] Statistics for long-memory processes
J Beran - 2017 - taylorfrancis.com
Statistical Methods for Long Term Memory Processes covers the diverse statistical methods
and applications for data with long-range dependence. Presenting material that previously …
and applications for data with long-range dependence. Presenting material that previously …
11 Nonlinear time series, complexity theory, and finance
WA Brock, PJF De Lima - Handbook of Statistics, 1996 - Elsevier
Publisher Summary This chapter describes statistical aspects of a line of recent work in
finance that is associated with nonlinearity, long term dependence, fat tails, chaos theory …
finance that is associated with nonlinearity, long term dependence, fat tails, chaos theory …
[KSIĄŻKA][B] Time series: a biostatistical introduction
Time series analysis is one of several branches of statistics whose practical importance has
increased with the availability of powerful computational tools. Methodology that was …
increased with the availability of powerful computational tools. Methodology that was …
Maximum likelihood estimation of the differencing parameter for invertible short and long memory autoregressive integrated moving average models
J Beran - Journal of the Royal Statistical Society: Series B …, 1995 - Wiley Online Library
In practical applications of Box‐Jenkins autoregressive integrated moving average (ARIMA)
models, the number of times that the observed time series must be differenced to achieve …
models, the number of times that the observed time series must be differenced to achieve …
[KSIĄŻKA][B] The dynamics of bureaucracy in the US government: How Congress and federal agencies process information and solve problems
S Workman - 2015 - books.google.com
This book develops a new theoretical perspective on bureaucratic influence and
congressional agenda setting based on limited attention and government information …
congressional agenda setting based on limited attention and government information …
Broadband log-periodogram regression of time series with long-range dependence
E Moulines, P Soulier - The Annals of Statistics, 1999 - projecteuclid.org
This paper discusses the properties of an estimator of the memory parameter of a stationary
long-memory time-series originally proposed by Robinson. As opposed to ''narrow …
long-memory time-series originally proposed by Robinson. As opposed to ''narrow …
Generalized fractional Gaussian noise and its application to traffic modeling
M Li - Physica A: Statistical Mechanics and its Applications, 2021 - Elsevier
The highlights in this paper are in two aspects. First, we introduce a type of novel fractional
noise termed generalized fractional Gaussian noise (gfGn). Its autocorrelation function …
noise termed generalized fractional Gaussian noise (gfGn). Its autocorrelation function …