Results 91 to 100 of about 7,207 (210)

Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function

International Statistical Review, EarlyView.
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler, Denis Belomestny, Simos George Meintanis, Emanuele Taufer   +3 more
wiley   +1 more source

A Variational Bayesian Adaptive Kalman Filter for the Random Losses Problem of Sensor Packet

IEEE Access
In this paper, a variational Bayesian adaptive Kalman filter (VBAKF) was used to solve the impact of unknown non-Gaussian measurement noise (NGMN) and sensor measurement loss in Wireless Sensor Networks (WSN) communication. First, the inverse Wishart (IW)
Changzhong Chen, Dahai Shu, Xie Leng, Haijun Long, Han Wu   +4 more
doaj   +1 more source

Simplex‐based model for nanoparticle grain identification in four‐dimensional scanning transmission electron microscopy data

Journal of Microscopy, EarlyView.
Abstract Grain identification in polycrystalline nanoparticles, for example, determining which crystal phases are present at each spatial location, is fundamental to materials characterisation. This is particularly challenging when grains overlap extensively, as commonly occurs in four‐dimensional scanning transmission electron microscopy (4D‐STEM ...
Wei Liu, Roberto dos Reis, Chad A. Mirkin, Vinayak P. Dravid, Wei Chen, Daniel W. Apley   +5 more
wiley   +1 more source

Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet

Sensors
The application of intelligent video monitoring for natural resource protection and management has become increasingly common in recent years. To enhance safety monitoring during the grazing prohibition and rest period of grassland, this paper proposes a
Meng Lv, Haoting Liu, Mengmeng Wang, Dongyang Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li   +7 more
doaj   +1 more source

Organized Crime, Corruption, and Economic Growth

Journal of Regional Science, Volume 65, Issue 2, Page 535-560, March 2025.
ABSTRACT In this paper, we study the relationship between organized crime, corruption, and economic growth on a data set from Italian regions for the period 1996–2013. Our working hypothesis is that organized crime can embezzle part of the public expenditure aimed at productive uses by threatening and bribing public officers. To assess the consequences
Tamara Fioroni, Andrea Mario Lavezzi, Giovanni Trovato   +2 more
wiley   +1 more source

Drug‐Induced Sialolithiasis—A Big‐Data Retrospective Study

Oral Diseases, EarlyView.
ABSTRACT Background Sialolithiasis pathophysiology is multifactorial, with systemic medications often hypothesised as a key contributor, particularly in older adults (Drug‐Induced Sialolithiasis). However, robust evidence supporting this theory is limited.
Gal Avishai, Gil Caspi, Akhilanand Chaurasia, Gavriel Chaushu, Daya Masri, Ehud Jonas   +5 more
wiley   +1 more source

Gaussian Mixture Model Based Bayesian Learning for Sparse Channel Estimation in Orthogonal Time Frequency Space Modulated Systems

IEEE Open Journal of Vehicular Technology
A novel Gaussian mixture model (GMM)–aided sparse Bayesian learning (SBL) framework is proposed for channel state information (CSI) estimation in orthogonal time-frequency space (OTFS) modulated systems. The key attribute of the proposed algorithm
Surbhi Gehlot, Suraj Srivastava, Sandeep Kumar Yadav, Lajos Hanzo   +3 more
doaj   +1 more source

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

Nonstationary Spatial Correlation of Earthquake Ground Motions in California

Earthquake Spectra, Volume 42, Issue 3, August 2026.
Assessing seismic risk to spatially distributed infrastructure systems requires realistic representations of spatially correlated ground motions. Existing models for the spatial correlations of ground motions rely on strong second‐order stationarity assumptions, under which the correlation structure is assumed to be invariant across space, potentially ...
Pengfei Wang, Busra Bocekli, Junhui Yang, Scott J. Brandenberg, Jonathan P. Stewart   +4 more
wiley   +1 more source

Post‐Event Ground Motion Estimation using Graph Neural Networks

Earthquake Spectra, Volume 42, Issue 3, August 2026.
Accurate ground motion (GM) estimates are essential for forensic analysis of structural damage following major earthquakes when direct recordings at the location(s) of interest are unavailable. Contemporary post‐event GM estimation methods often leverage nearby observations to constrain estimates of intensity measures (IMs); however, existing ...
Claudio Schill, Brendon A. Bradley
wiley   +1 more source