Results 21 to 30 of about 2,877,510 (222)

Hybrid Decoders for Marked Point Process Observations and External Influences

open access: yesIEEE Transactions on Biomedical Engineering, 2022
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.
D. S. Wickramasuriya   +3 more
semanticscholar   +1 more source

Decoding position from multiunit activity using a marked point process filter [PDF]

open access: yesBMC Neurosci, 2015
Traditionally, experiments designed to study the role of specific spike patterns in learning and memory tasks take one of two forms, 1) observational studies that characterize statistical properties of neural activity during such tasks or 2 ...
Deng X, Liu D, Kay K, Frank L, Eden U.
europepmc   +2 more sources

A self‐exciting marked point process model for drought analysis

open access: yesEnvironmetrics, 2021
A self‐exciting marked point process approach is proposed to model clustered low‐flow events. It combines a self‐exciting ground process designed to capture the temporal clustering behavior of extreme values and an extended Generalized Pareto mark ...
Xiaoting Li, C. Genest, J. Jalbert
semanticscholar   +1 more source

Random Walk Analysis in a Reliability System under Constant Degradation and Random Shocks

open access: yesAxioms, 2021
In this paper, we study a reliability system subject to occasional random shocks hitting an underlying device in accordance with a general marked point process with position dependent marking.
Jewgeni H. Dshalalow, Ryan T. White
doaj   +1 more source

A limit theorem for persistence diagrams of random filtered complexes built over marked point processes

open access: yesModern Stochastics: Theory and Applications, 2022
Random filtered complexes built over marked point processes on Euclidean spaces are considered. Examples of these filtered complexes include a filtration of $\check{\text{C}}$ech complexes of a family of sets with various sizes, growths, and shapes.
Tomoyuki Shirai, Kiyotaka Suzaki
doaj   +1 more source

COVID-19 transmission risk in Surabaya and Sidoarjo: an inhomogeneous marked Poisson point process approach

open access: yesStochastic environmental research and risk assessment (Print), 2023
Understanding the spatio-temporal dynamics of COVID-19 transmission is necessary to plan better strategies for controlling the spread of the disease. However, only a few studies explore the COVID-19 transmission risk over a fine spatial resolution while ...
Achmad Choiruddin   +3 more
semanticscholar   +1 more source

Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model

open access: yesThe Web Conference, 2020
Most users leave e-commerce websites with no purchase. Hence, it is important for website owners to detect users at risk of exiting and intervene early (e. g., adapting website content or offering price promotions).
Tobias Hatt, S. Feuerriegel
semanticscholar   +1 more source

Automatic Road Extraction from Remote Sensing Images Based on Rectangle Marked Point Process

open access: yesCanadian Journal of Remote Sensing, 2021
Aiming at solving inaccurate and incomplete extraction of road in remote sensing images, this paper proposes an automatic extraction algorithm based on Rectangle Marked Point Process (RMPP).
You Wu, Quanhua Zhao, Yu Li, Yiding Wang
doaj   +1 more source

Assessing Goodness-of-Fit in Marked-Point Process Models of Neural Population Coding via Time and Rate Rescaling

open access: yesbioRxiv, 2020
Marked-point process models have recently been used to capture the coding properties of neural populations from multi-unit electrophysiological recordings without spike sorting.
A. Yousefi   +3 more
semanticscholar   +1 more source

Balancing structural complexity with ecological insight in Spatio‐temporal species distribution models

open access: yesMethods in Ecology and Evolution, 2023
The potential for statistical complexity in species distribution models (SDMs) has greatly increased with advances in computational power. Structurally complex models provide the flexibility to analyse intricate ecological systems and realistically messy
Megan R. Laxton   +3 more
doaj   +1 more source

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