Results 1 to 10 of about 3,615,790 (312)

Bayesian Modeling for Nonstationary Spatial Point Process via Spatial Deformations [PDF]

Entropy
Many techniques have been proposed to model space-varying observation processes with a nonstationary spatial covariance structure and/or anisotropy, usually on a geostatistical framework.
Dani Gamerman, Marcel de Souza Borges Quintana, Mariane Branco Alves   +2 more
doaj   +2 more sources

Determinantal Point Processes for Image Processing [PDF]

SIAM Journal on Imaging Sciences, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Launay, Claire, Desolneux, Agnès, Galerne, Bruno   +2 more
openaire   +2 more sources

Development and scale-up of rVSV-SARS-CoV-2 vaccine process using single use bioreactor

Biotechnology Reports, 2023
The outbreak of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes the Coronavirus Disease 2019 (COVID-19) has spread through the globe at an alarming speed.
Christopher Ton, Victoria Stabile, Elizabeth Carey, Adam Maraikar, Travis Whitmer, Samantha Marrone, Nelson Lee Afanador, Igor Zabrodin, Greeshma Manomohan, Melissa Whiteman, Carl Hofmann   +10 more
doaj   +1 more source

The Utilization of Waste Toner as a Modifier in Trinidad Asphalts

Recycling, 2022
As more persons are adjusting to home working in light of the COVID-19 pandemic, there has been a significant increase in the use of technology. Trinidad and Tobago, like many other Small Island Developing States, began exploring strategies in the areas ...
Shane Rambarran, Rean Maharaj, Sharona Mohammed, Nadine Sangster   +3 more
doaj   +1 more source

Sensory Analysis for Cow Milk Product Development Using High Pressure Processing (HPP) in the Dairy Industry

Foods, 2022
High pressure processing (HPP) can be applied as an alternative thermal treatment of milk to maintain its natural and original sensory quality. Milk was processed at 600 MPa for 10 min or given thermal treatment at 125 °C for 4 s.
Shu Huey Lim, Nyuk Ling Chin, Alifdalino Sulaiman, Cheow Hwang Tay, Tak Hiong Wong   +4 more
doaj   +1 more source

Extremal Analysis of Flooding Risk and Its Catastrophe Bond Pricing

Mathematics, 2022
Catastrophic losses induced by natural disasters are receiving growing attention because of the severe increases in their magnitude and frequency.
Jiayi Li, Zhiyan Cai, Yixuan Liu, Chengxiu Ling   +3 more
doaj   +1 more source

A Statistical Model for Earthquake And/Or Rainfall Triggered Landslides

Frontiers in Earth Science, 2021
Natural hazards can be initiated by different types of triggering events. For landslides, the triggering events are predominantly earthquakes and rainfall.
Gabriele Frigerio Porta, Mark Bebbington, Xun Xiao, Geoff Jones   +3 more
doaj   +1 more source

Asymptotic Dependence Modelling of the BRICS Stock Markets

International Journal of Financial Studies, 2022
With the use of empirical data, this paper focuses on solving financial and investment issues involving extremal dependence of 10 pairwise combinations of the 5 BRICS (Brazil, Russia, India, China, and South Africa) stock markets.
Caston Sigauke, Rosinah Mukhodobwane, Wilbert Chagwiza, Winston Garira   +3 more
doaj   +1 more source

Realizability of Point Processes [PDF]

Journal of Statistical Physics, 2007
31 pages, 1 figure, gzipped tar file; Changes in Appendix A : comment about a improved cluster expansion by Fernandez et al.; result about non realizability of the bump ...
Kuna T., Lebowitz J. L., Speer E. R.
openaire   +3 more sources

Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects

Entropy, 2022
Traditionally, Hawkes processes are used to model time-continuous point processes with history dependence. Here, we propose an extended model where the self-effects are of both excitatory and inhibitory types and follow a Gaussian Process.
Noa Malem-Shinitski, César Ojeda, Manfred Opper   +2 more
doaj   +1 more source