Results 51 to 60 of about 169 (137)

Wavelet‐Based Hurst Exponent Estimation

open access: yesWIREs Computational Statistics, Volume 18, Issue 3, September 2026.
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa   +2 more
wiley   +1 more source

Boxplots: Definition, History, Extensions, and Examples

open access: yesWIREs Computational Statistics, Volume 18, Issue 3, September 2026.
This article reviews Tukey's boxplot, including its early forerunners and subsequent enhancements. The review includes 13 versions of the boxplot for univariate data and six boxplot‐inspired displays for bivariate data. Data on U.S. county melanoma mortality rates (1973‐1987) illustrate the displays described in this review.
Karen Kafadar
wiley   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali   +6 more
wiley   +1 more source

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos   +1 more
wiley   +1 more source

Inversion of Induced Polarization Parameters From Time‐Domain Electromagnetic Data Using the Debye Decomposition Model

open access: yesGeophysical Prospecting, Volume 74, Issue 7, September 2026.
ABSTRACT Time‐domain electromagnetics (TEM) is a valuable tool for exploring seafloor hydrothermal deposits, which are characterized by variations in resistivity and chargeability. Several surveys using the Waseda integrated seafloor time‐domain electromagnetics (WISTEM) have been conducted.
Masayuki Motoori   +4 more
wiley   +1 more source

Adaptive Estimation for Weakly Dependent Functional Times Series

open access: yesJournal of Time Series Analysis, Volume 47, Issue 5, Page 1013-1027, September 2026.
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   +2 more
wiley   +1 more source

A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems. [PDF]

open access: yesSensors (Basel), 2022
da Silva DC   +7 more
europepmc   +1 more source

Bayesian Inference for Multivariate Monotone Densities

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 3, Page 1206-1229, September 2026.
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley   +1 more source

Large‐Aperture, WFOV Broadband Achromatic Metalens Enabled by Forward Mapping Optimization and Hybrid Algorithmic Framework

open access: yesNanophotonics, Volume 15, Issue 15, 13 August 2026.
A novel large aperture metalens design strategy achieves broadband achromatic imaging across the visible spectrum (400–680 nm) with a 100° field of view. By incorporating forward mapping optimization and a hybrid algorithm framework, this approach overcomes the limit between aperture size, field of view, and chromatic aberration correction, providing a
Zongyuan Chen   +6 more
wiley   +1 more source

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