Results 41 to 50 of about 2,991 (120)

Earthquake and Tsunami NaTech Risk Assessment for Oil Storage Facilities

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1887-1904, 25 July 2026.
ABSTRACT Interaction of natural and technological hazards (NaTech) events, such as tsunamis and earthquakes, can affect industrial facilities such as those featuring anchored atmospheric storage tanks. Consequences of natural events on this kind of installation may include the release of hazardous substances, which in turn can lead to industrial ...
Georgios Baltzopoulos, Pasquale Cito, Federica Ricci, Manuela Volpe, Jacopo Selva, Valerio Cozzani, Iunio Iervolino   +6 more
wiley   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, Volume 45, Issue 4, Page 1529-1558, July 2026.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, Volume 45, Issue 4, Page 1985-2000, July 2026.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Large Deviations of the Giant Component in Scale‐Free Inhomogeneous Random Graphs

Random Structures &Algorithms, Volume 68, Issue 4, July 2026.
ABSTRACT We study large deviations of the size of the largest connected component in a general class of inhomogeneous random graphs with iid weights, parametrized so that the degree distribution is regularly varying. We derive a large‐deviation principle with logarithmic speed: the rare event that the largest component contains linearly more vertices ...
Joost Jorritsma, Bert Zwart
wiley   +1 more source

Is It Easier to Count Communities Than Find Them?

Random Structures &Algorithms, Volume 68, Issue 4, July 2026.
ABSTRACT Random graph models with community structure have been studied extensively in the literature. For both the problems of detecting and recovering community structure, an interesting landscape of statistical and computational phase transitions has emerged. A natural unanswered question is: Might it be possible to infer properties of the community
Cynthia Rush, Fiona Skerman, Alexander S. Wein, Dana Yang   +3 more
wiley   +1 more source

A Mixture of Distributed Lag Non‐Linear Models to Account for Spatially Heterogeneous Exposure‐Lag‐Response Associations

Statistics in Medicine, Volume 45, Issue 15-17, July 2026.
ABSTRACT Environmental exposures, such as air pollution and extreme temperatures, have complex effects on human health. These effects are often characterized by non‐linear exposure‐lag‐response relationships and delayed impacts over time. Accurately capturing these dynamics is crucial for informing public health interventions.
Álvaro Briz‐Redón, Ana Corberán‐Vallet, Adina Iftimi, Carmen Íñiguez   +3 more
wiley   +1 more source

Improving Daily Runoff Prediction Using a Novel Two‐Step Post‐Processing Method of Frequency Distribution Curve Correction

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Offsets and distributional discrepancies between runoff simulations and observations were two important error sources which remarkably degraded runoff prediction performance of hydrological models. However, traditional single post‐processing correction methods were difficult to reduce these two error sources simultaneously due to their ...
Xiaochuan Luo, Yongyong Zhang, Tongtiegang Zhao, Xiaoyan Zhai, Junxu Chen, Bing Han, Yichi Chen, Abrha Ybeyn Gebremedhn   +7 more
wiley   +1 more source

Geometric overdispersion facilitates the integration of ecological data

Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2104-2122, July 2026.
Abstract Statistical data integration facilitates inference based on the variety of data prevalent in ecology. In particular, integrated distribution models (IDMs) have been proposed for inferring spatial patterns in abundance using combinations of noisy count, presence–absence and presence–only data.
Justin J. Van Ee, Yoichiro Kanno, Xinyi Lu, Jacob M. Rash, Mevin B. Hooten   +4 more
wiley   +1 more source

Diverse Connections Between Climate Extremes and Agricultural Loss Across the Southern Slopes of the Himalayas

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract The increasing frequency of drought, heat stress and extreme precipitation is intensifying risks to agricultural systems in the Southern Slopes of the Himalaya (SSH) under climate change. Understanding crop loss responses across cropping systems is critical for regional food security.
Jiujiang Wu, Hongzheng Shen, Gaofei Yin, Xinyao Xie, Qianggong Zhang, Sravan Shrestha, Nan Wang, Yanqing Yang, Wei Zhao   +8 more
wiley   +1 more source

Comment on: A Novel Mendelian Randomization Method With Binary Risk Factor and Outcome

Genetic Epidemiology, Volume 50, Issue 5, July 2026.
Sandeep Chowdary Vejandla, Mengchen Ding, Hemant K. Tiwari   +2 more
wiley   +1 more source