Results 11 to 20 of about 3,602,130 (312)
Bayesian Modeling for Nonstationary Spatial Point Process via Spatial Deformations [PDF]
EntropyMany 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 +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 +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 +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 +3 more
doaj +1 more source
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 +4 more
doaj +1 more source
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 +2 more
doaj +1 more source
Spatial Pattern Simulation of Antenna Base Station Positions Using Point Process Techniques
Telecom, 2022 Spatial statistics is a powerful tool for analyzing data that are illustrated as points or positions in a regular or non-regular state space. Techniques that are proposed to investigate the spatial association between neighboring positions are based on ...
Stelios Zimeras
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
, 2023 This toolbox implements various tools for working with simple, non-marked, one dimensional point processes.
Schindlbeck-Belo, Julie C. +4 more
core +1 more source
Point-shift foliation of a point process
Electronic Journal of Probability, 2018 A point-shift $F$ maps each point of a point process $Φ$ to some point of $Φ$. For all translation invariant point-shifts $F$, the $F$-foliation of $Φ$ is a partition of the support of $Φ$ which is the discrete analogue of the stable manifold of $F$ on $Φ$.
Baccelli, Francois +1 more
openaire +3 more sources