Mutually Exciting Point Processes for Crowdfunding Platform Dynamics
Fuente:
arXiv
Guardado en:
| Autores principales: | Djorno, Alexandra, Crawford, Forrest W. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Restoring the Forecasting Power of Google Trends with Statistical Preprocessing
por: Djorno, Candice, et al.
Publicado: (2025)
por: Djorno, Candice, et al.
Publicado: (2025)
Time-varying confounding in epidemic intervention evaluations
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
Tides Need STEMMED: A Locally Operating Spatio-Temporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction
por: Liao, Che-Yi, et al.
Publicado: (2022)
por: Liao, Che-Yi, et al.
Publicado: (2022)
Communication network dynamics in a large organizational hierarchy
por: Josephs, Nathaniel, et al.
Publicado: (2022)
por: Josephs, Nathaniel, et al.
Publicado: (2022)
Modeling Event Dynamics by Self-Exciting Processes with Random Memory
por: Peng, K. Ken, et al.
Publicado: (2026)
por: Peng, K. Ken, et al.
Publicado: (2026)
Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes
por: Sharma, Bharat, et al.
Publicado: (2025)
por: Sharma, Bharat, et al.
Publicado: (2025)
A Latent Dirichlet Allocation (LDA) Semantic Text Analytics Approach to Explore Topical Features in Charity Crowdfunding Campaigns
por: Muzumdar, Prathamesh, et al.
Publicado: (2024)
por: Muzumdar, Prathamesh, et al.
Publicado: (2024)
Density-based Neural Temporal Point Processes for Heartbeat Dynamics
por: Subramanian, Sandya, et al.
Publicado: (2025)
por: Subramanian, Sandya, et al.
Publicado: (2025)
Spatio-Temporal-Network Point Processes for Modeling Crime Events with Landmarks
por: Dong, Zheng, et al.
Publicado: (2024)
por: Dong, Zheng, et al.
Publicado: (2024)
Adversarial Obstacle Placement with Spatial Point Processes for Optimal Path Disruption
por: Zhou, Li, et al.
Publicado: (2025)
por: Zhou, Li, et al.
Publicado: (2025)
Atlanta Gun Violence Modeling via Nonstationary Spatio-temporal Point Processes
por: Dong, Zheng, et al.
Publicado: (2024)
por: Dong, Zheng, et al.
Publicado: (2024)
Carbon Cycle Extremes Accelerate Weakening of the Land Carbon Sink in the Late 21st Century
por: Sharma, Bharat, et al.
Publicado: (2025)
por: Sharma, Bharat, et al.
Publicado: (2025)
O-MAGIC: Online Change-Point Detection for Dynamic Systems
por: Sun, Yan, et al.
Publicado: (2024)
por: Sun, Yan, et al.
Publicado: (2024)
Local Indicators of Mark Association for Spatial Marked Point Processes
por: Eckardt, Matthias, et al.
Publicado: (2024)
por: Eckardt, Matthias, et al.
Publicado: (2024)
Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
por: Lee, Jooyeon, et al.
Publicado: (2025)
por: Lee, Jooyeon, et al.
Publicado: (2025)
Thinning-Stable Point Processes as a Model for Spatial Burstiness
por: Zuyev, Sergei
Publicado: (2025)
por: Zuyev, Sergei
Publicado: (2025)
Differentially private synthesis of Spatial Point Processes
por: Kim, Dangchan, et al.
Publicado: (2025)
por: Kim, Dangchan, et al.
Publicado: (2025)
Estimating the Number of Street Vendors in New York City: Ratio Estimation with Point Process Data
por: Auerbach, Jonathan
Publicado: (2024)
por: Auerbach, Jonathan
Publicado: (2024)
ldmppr: Location Dependent Marked Point Processes in R
por: Drew, Lane, et al.
Publicado: (2026)
por: Drew, Lane, et al.
Publicado: (2026)
Is Your Model Risk ALARP? Evaluating Prospective Safety-Critical Applications of Complex Models
por: Di Francesco, Domenic, et al.
Publicado: (2025)
por: Di Francesco, Domenic, et al.
Publicado: (2025)
Multiscale Topological Inference for Marked Point Processes via Euler Characteristic Envelopes
por: Eckardt, Matthias, et al.
Publicado: (2026)
por: Eckardt, Matthias, et al.
Publicado: (2026)
Model-Based Clustering of Football Event Sequences: A Marked Spatio-Temporal Point Process Mixture Approach
por: Amezouwui, Koffi, et al.
Publicado: (2025)
por: Amezouwui, Koffi, et al.
Publicado: (2025)
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process
por: Yi, Seorim, et al.
Publicado: (2023)
por: Yi, Seorim, et al.
Publicado: (2023)
Dynamic Count Models with Flexible Innovation Processes for Irregular Maritime Migration
por: Zens, Gregor, et al.
Publicado: (2025)
por: Zens, Gregor, et al.
Publicado: (2025)
Mutual Information Surprise: Rethinking Unexpectedness in Autonomous Systems
por: Wang, Yinsong, et al.
Publicado: (2025)
por: Wang, Yinsong, et al.
Publicado: (2025)
Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
por: Zou, Joanna, et al.
Publicado: (2026)
por: Zou, Joanna, et al.
Publicado: (2026)
Detecting Filamentarity in Climate and Galactic Spatial Point Processes
por: Gjoka, Aida, et al.
Publicado: (2024)
por: Gjoka, Aida, et al.
Publicado: (2024)
Embedding Birth-Death Processes within a Dynamic Stochastic Block Model
por: Soler, Gabriela Bayolo, et al.
Publicado: (2026)
por: Soler, Gabriela Bayolo, et al.
Publicado: (2026)
An Empirical Study: Extensive Deep Temporal Point Process
por: Lin, Haitao, et al.
Publicado: (2021)
por: Lin, Haitao, et al.
Publicado: (2021)
Testing the Structural Properties of Marked Point Processes Using Local Inhomogeneous Mark-Weighted K-Functions
por: D'Angelo, Nicoletta, et al.
Publicado: (2026)
por: D'Angelo, Nicoletta, et al.
Publicado: (2026)
Revisiting Marked Galaxy Clustering from a Joint Point Process Perspective
por: Takeuchi, Tsutomu T.
Publicado: (2026)
por: Takeuchi, Tsutomu T.
Publicado: (2026)
Temporal Point Process Modeling of Aggressive Behavior Onset in Psychiatric Inpatient Youths with Autism
por: Potter, Michael, et al.
Publicado: (2025)
por: Potter, Michael, et al.
Publicado: (2025)
Analysis of Higher Education Dropouts Dynamics through Multilevel Functional Decomposition of Recurrent Events in Counting Processes
por: Ragni, Alessandra, et al.
Publicado: (2024)
por: Ragni, Alessandra, et al.
Publicado: (2024)
EarthquakeNPP: A Benchmark for Earthquake Forecasting with Neural Point Processes
por: Stockman, Samuel, et al.
Publicado: (2024)
por: Stockman, Samuel, et al.
Publicado: (2024)
Lumbermark: Resistant Clustering by Chopping Up Mutual Reachability Minimum Spanning Trees
por: Gagolewski, Marek
Publicado: (2026)
por: Gagolewski, Marek
Publicado: (2026)
A Dynamic Dirichlet Process Mixture Model for the Partisan Realignment of Civil Rights Issues in the U.S. House of Representatives
por: Xiang, Nuannuan, et al.
Publicado: (2025)
por: Xiang, Nuannuan, et al.
Publicado: (2025)
MLOps Monitoring at Scale for Digital Platforms
por: Hu, Yu Jeffrey, et al.
Publicado: (2025)
por: Hu, Yu Jeffrey, et al.
Publicado: (2025)
Enhancing Electrocardiography Data Classification Confidence: A Robust Gaussian Process Approach (MuyGPs)
por: Nnyaba, Ukamaka V., et al.
Publicado: (2024)
por: Nnyaba, Ukamaka V., et al.
Publicado: (2024)
Mutual Information-Driven Visualization and Clustering for Core KPI Selection in O-RAN Testing
por: Pradhan, Anish, et al.
Publicado: (2025)
por: Pradhan, Anish, et al.
Publicado: (2025)
Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians
por: Poggio, Daniele, et al.
Publicado: (2025)
por: Poggio, Daniele, et al.
Publicado: (2025)
Ejemplares similares
-
Restoring the Forecasting Power of Google Trends with Statistical Preprocessing
por: Djorno, Candice, et al.
Publicado: (2025) -
Time-varying confounding in epidemic intervention evaluations
por: Zhang, Yichi, et al.
Publicado: (2025) -
Tides Need STEMMED: A Locally Operating Spatio-Temporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction
por: Liao, Che-Yi, et al.
Publicado: (2022) -
Communication network dynamics in a large organizational hierarchy
por: Josephs, Nathaniel, et al.
Publicado: (2022) -
Modeling Event Dynamics by Self-Exciting Processes with Random Memory
por: Peng, K. Ken, et al.
Publicado: (2026)