Results 91 to 100 of about 20,055 (271)

The effect of round-off error on long memory processes

, 2013
We study how the round-off (or discretization) error changes the statistical properties of a Gaussian long memory process. We show that the autocovariance and the spectral density of the discretized process are asymptotically rescaled by a factor smaller
La Spada, Gabriele, Lillo, Fabrizio
core   +1 more source

Adaptive Estimation for Weakly Dependent Functional Times Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro, Valentin Patilea, Myriam Vimond   +2 more
wiley   +1 more source

Passing on the red genes: Communism nostalgia in online fictions and ideological governance in China

Regulation &Governance, EarlyView.
Abstract How does communism as an ideology fare in the post‐reform digital age China? What are the implications for China's ideological governance? Through online ethnographic work and text analysis, this paper identifies and analyzes how communism as an ideation and a practice is (re)memorized, (re)presented, and (re)interpreted in popular online ...
Rongbin Han
wiley   +1 more source

Know Your Stripes? An Assessment of Climate Warming Stripes as a Graphical Risk Communication Format

Risk Analysis, EarlyView.
ABSTRACT Stripe graphs have emerged as a popular format for the visual communication of environmental risks. The apparent appeal of the format has been attributed to its capacity to summarize complex data in an eye‐catching way that can be understood quickly and intuitively by diverse audiences.
Ian G. J. Dawson, Danni Zhang, Shan Wang, Vanissa Wanick   +3 more
wiley   +1 more source

Snow metamorphism: a fractal approach

, 2010
Snow is a porous disordered medium consisting of air and three water phases: ice, vapour and liquid. The ice phase consists of an assemblage of grains, ice matrix, initially arranged over a random load bearing skeleton.
A. D. Frolov, Anna Carbone, Barbara Frigo, Bernardino M. Chiaia, C. W. Emerson, Christian Türk, D. L. Turcotte, V. N. Golubev   +7 more
core   +1 more source

AUKUS: A Bloc of Anglo‐Saxon Powers

Asia &the Pacific Policy Studies, Volume 13, Issue 1, January 2026.
ABSTRACT This article analyses AUKUS through the theoretical lens of neo‐offensive realism, with its distinctive emphasis on the articulation between system‐level and unit‐level variables for understanding alliance formation and dynamics. In so doing, it examines both system‐level, geostrategic developments that pre‐dispose the AUKUS partners to ...
Lloyd Cox
wiley   +1 more source

On the relationship between the Hurst exponent, the ratio of the mean square successive difference to the variance, and the number of turning points

, 2016
The long range dependence of the fractional Brownian motion (fBm), fractional Gaussian noise (fGn), and differentiated fGn (DfGn) is described by the Hurst exponent $H$.
Tarnopolski, Mariusz
core   +1 more source

Ethical Issues Involved in Solid Organ Xenotransplantation

Clinical Anatomy, Volume 39, Issue 1, Page 55-59, January 2026.
ABSTRACT Xenotransplantation (specifically, genetically modified pig‐to‐human transplant of organs, tissues, or cells) clinical trials are set to begin in the United States after decades of pre‐clinical studies and recent decedent and compassionate use investigations. This article provides a primer on the key ethical issues attendant with this emerging
Daniel J. Hurst, Chris Bobier, Luz A. Padilla   +2 more
wiley   +1 more source

Efficiently Implementing the Maximum Likelihood Estimator for Hurst Exponent [PDF]

Mathematical Problems in Engineering, 2014
This paper aims to efficiently implement the maximum likelihood estimator (MLE) for Hurst exponent, a vital parameter embedded in the process of fractional Brownian motion (FBM) or fractional Gaussian noise (FGN), via a combination of the Levinson algorithm and Cholesky decomposition.
openaire   +2 more sources

Battery‐Aided Personalised Protection Strategy for Achieving Differential Privacy of Electricity Consumption Data

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper proposes a battery‐aided personalised differential privacy framework that generates physically realisable noise through battery operations. The proposed method enables adaptive privacy preservation through bounded noise probability functions with configurable privacy parameters and incorporates time‐of‐use pricing via a mean‐drift mechanism ...
Renjie Luo, Zehao Song, Xuexian Liu, Zhiyi Li   +3 more
wiley   +1 more source