A numerical method for computing interval distributions for an inhomogeneous Poisson point process modified by random dead times
Sign Up to like & getrecommendations! Published in 2021 at "Biological Cybernetics"
DOI: 10.1007/s00422-021-00868-8
Abstract: The inhomogeneous Poisson point process is a common model for time series of discrete, stochastic events. When an event from a point process is detected, it may trigger a random dead time in the detector,… read more here.
Keywords: poisson point; point process; process; point ... See more keywords
A Model Based Poisson Point Process for Downlink Cellular Networks Using Joint Scheduling
Sign Up to like & getrecommendations! Published in 2019 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-06353-7
Abstract: This paper proposes a model based on a random cellular network to analyse performance of Joint Scheduling in which a typical user measures signal-to-interference-plus-noise ratio (SINR) on different resource blocks from K nearest BSs in… read more here.
Keywords: using joint; joint scheduling; model based; point process ... See more keywords
Martingale representation in the enlargement of the filtration generated by a point process
Sign Up to like & getrecommendations! Published in 2021 at "Stochastic Processes and their Applications"
DOI: 10.1016/j.spa.2020.09.008
Abstract: Let $X$ be a point process and let $\mathbb{X}$ denote the filtration generated by $X$. In this paper we study martingale representation theorems in the filtration $\mathbb{G}$ obtained as an initial and progressive enlargement of… read more here.
Keywords: point process; process; filtration generated; enlargement ... See more keywords
Self-exciting point process models for political conflict forecasting
Sign Up to like & getrecommendations! Published in 2017 at "European Journal of Applied Mathematics"
DOI: 10.1017/s095679251700033x
Abstract: In 2008, the Defense Advanced Research Project Agency commissioned a database known as the Integrated Crisis Early Warning System to serve as the foundation for models capable of detecting and predicting increases in political conflict… read more here.
Keywords: conflict; point process; political conflict; self exciting ... See more keywords
A point process model for generating biofilms with realistic microstructure and rheology
Sign Up to like & getrecommendations! Published in 2018 at "European Journal of Applied Mathematics"
DOI: 10.1017/s0956792518000220
Abstract: Biofilms are communities of bacteria that exhibit a multitude of multiscale biomechanical behaviours. Recent experimental advances have led to characterisations of these behaviours in terms of measurements of the viscoelastic moduli of biofilms grown in… read more here.
Keywords: point process; model; rheology; mechanical properties ... See more keywords
The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.2023116
Abstract: Spatial point process models are theoretically useful for mapping discrete events, such as plant or animal presence, across space; however, the computational complexity of fitting these models is often a barrier to their practical use.… read more here.
Keywords: point process; log gaussian; process models; cox process ... See more keywords
Marked point process representation of oscillatory dynamics underlying working memory
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/abd577
Abstract: Objective. Computational models of neural activity at the meso-scale suggest the involvement of discrete oscillatory bursts as constructs of cognitive processing during behavioral tasks. Classical signal processing techniques that attempt to infer neural correlates of… read more here.
Keywords: oscillatory dynamics; point process; process; memory ... See more keywords
Nonlinear point-process estimation of neural spiking activity based on variational Bayesian inference
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac88a0
Abstract: Objective. Understanding neural encoding and decoding processes are crucial to the development of brain-machine interfaces (BMI). Higher decoding speed of neural signals is required for the large-scale neural data and the extremely low detection delay… read more here.
Keywords: based variational; nonlinear point; point process; bayesian inference ... See more keywords
A Marked Point Process Filtering Approach for Tracking Sympathetic Arousal From Skin Conductance
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2984508
Abstract: Human emotion represents a complex neural process within the brain. The ability to automatically recognize emotions from physiological signals has the potential to impact humanity in multiple ways through applications in human-machine interaction, remote health… read more here.
Keywords: arousal; point process; marked point; skin conductance ... See more keywords
Asymptotically Exact Unweighted Particle Filter for Manifold-Valued Hidden States and Point Process Observations
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2019.2951093
Abstract: The filtering of a Markov diffusion process on a manifold from counting process observations leads to ‘large’ changes in the conditional distribution upon an observed event, corresponding to a multiplication of the density by the… read more here.
Keywords: particle filter; process; asymptotically exact; filter ... See more keywords
Hybrid Decoders for Marked Point Process Observations and External Influences
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3191243
Abstract: Objective: Internal physiological processes govern multiple state variables within the human body. Estimating these from point process-type bioelectric and biochemical observations is a challenge. Here we seek to estimate cortisol-related energy production and sympathetic arousal… read more here.
Keywords: influence; state; external influence; point process ... See more keywords