A self‐exciting marked point process model for drought analysis
Sign Up to like & getrecommendations! Published in 2021 at "Environmetrics"
DOI: 10.1002/env.2697
Abstract: 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… read more here.
Keywords: drought; marked point; model; self exciting ... See more keywords
Continuous‐Time Causal Inference With Marked Point Process Weights: An Example on Sodium‐Glucose Co‐Transporters 2 Inhibitor Medications and Urinary Tract Infection
Sign Up to like & getrecommendations! Published in 2025 at "Statistics in Medicine"
DOI: 10.1002/sim.70102
Abstract: Treatment‐confounder feedback is present in time‐to‐recurrent or longitudinal event analysis when time‐dependent confounders are themselves influenced by previous treatments. Conventional models produce misleading statistical inference of causal effects due to conditioning on these factors on… read more here.
Keywords: continuous time; point process; time; marked point ... See more keywords
Construction of computer experiment designs using marked point processes
Sign Up to like & getrecommendations! Published in 2020 at "Afrika Matematika"
DOI: 10.1007/s13370-020-00770-9
Abstract: This article offers a method for building computer experiment designs. This method is based on the theory of marked point processes, otherwise known as object processes. Those designs rely on both the distribution of points… read more here.
Keywords: point processes; computer experiment; marked point; experiment designs ... See more keywords
Local inhomogeneous weighted summary statistics for marked point processes
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2023.2206441
Abstract: We introduce a family of local inhomogeneous mark-weighted summary statistics, of order two and higher, for general marked point processes. Depending on how the involved weight function is specified, these summary statistics capture different kinds… read more here.
Keywords: weighted summary; marked point; local inhomogeneous; summary statistics ... 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
Narrow Gap Detection in Microscope Images Using Marked Point Process Modeling
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2910389
Abstract: Differentiating objects separated by narrow gaps is a challenging and important task in analyzing microscopic images. These small separations provide useful information for applications that require detailed boundary information and/or an accurate particle count. We… read more here.
Keywords: point process; marked point; method; narrow gap ... See more keywords
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions
Sign Up to like & getrecommendations! Published in 2023 at "Neural Computation"
DOI: 10.1162/neco_a_01572
Abstract: Abstract When applying a point process to a real-world problem, an appropriate intensity function model should be designed based on physical and mathematical prior knowledge. Recently, a fully trainable deep learning–based approach has been developed… read more here.
Keywords: cumulative hazard; marked point; point process; point ... See more keywords