A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Sujeong, Chang, Won, Mateu, Jorge, Lee, Heejin, Park, Jaewoo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatio-Temporal-Network Point Processes for Modeling Crime Events with Landmarks
by: Dong, Zheng, et al.
Published: (2024)
by: Dong, Zheng, et al.
Published: (2024)
Fast Computer Model Calibration using Annealed and Transformed Variational Inference
by: Cho, Dongkyu Derek, et al.
Published: (2022)
by: Cho, Dongkyu Derek, et al.
Published: (2022)
Estimating Inhomogeneous Spatio-Temporal Background Intensity Functions using Graphical Dirichlet Processes
by: Bañales, Isaías, et al.
Published: (2025)
by: Bañales, Isaías, et al.
Published: (2025)
Model-Based Clustering of Football Event Sequences: A Marked Spatio-Temporal Point Process Mixture Approach
by: Amezouwui, Koffi, et al.
Published: (2025)
by: Amezouwui, Koffi, et al.
Published: (2025)
Prior selection for the precision parameter of Dirichlet Process Mixtures
by: Vicentini, Carlo, et al.
Published: (2025)
by: Vicentini, Carlo, et al.
Published: (2025)
Composite Dyadic Models for Spatio-Temporal Data
by: Schwob, Michael R, et al.
Published: (2023)
by: Schwob, Michael R, et al.
Published: (2023)
Neural Network-based Partial-Linear Single-Index Models for Environmental Mixtures Analysis
by: Do, Hyungrok, et al.
Published: (2025)
by: Do, Hyungrok, et al.
Published: (2025)
A Dynamic Dirichlet Process Mixture Model for the Partisan Realignment of Civil Rights Issues in the U.S. House of Representatives
by: Xiang, Nuannuan, et al.
Published: (2025)
by: Xiang, Nuannuan, et al.
Published: (2025)
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process
by: Yi, Seorim, et al.
Published: (2023)
by: Yi, Seorim, et al.
Published: (2023)
Bayesian Design for Sampling Anomalous Spatio-Temporal Data
by: Buchhorn, Katie, et al.
Published: (2024)
by: Buchhorn, Katie, et al.
Published: (2024)
Crime in Proportions: Applying Compositional Data Analysis to European Crime Trends for 2022
by: Doğan, Onur Batın, et al.
Published: (2025)
by: Doğan, Onur Batın, et al.
Published: (2025)
Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
by: Upton, Elizabeth, et al.
Published: (2017)
by: Upton, Elizabeth, et al.
Published: (2017)
A Bayesian Spatio-Temporal Model of Temperature- and Humidity-Related Mortality Using High-Resolution Climate Data
by: Perchtold, Corinna, et al.
Published: (2025)
by: Perchtold, Corinna, et al.
Published: (2025)
Enhancing the Accuracy of Spatio-Temporal Models for Wind Speed Prediction by Incorporating Bias-Corrected Crowdsourced Data
by: Organ, Eamonn, et al.
Published: (2025)
by: Organ, Eamonn, et al.
Published: (2025)
A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications
by: Habereder, Isabella, et al.
Published: (2025)
by: Habereder, Isabella, et al.
Published: (2025)
Tides Need STEMMED: A Locally Operating Spatio-Temporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction
by: Liao, Che-Yi, et al.
Published: (2022)
by: Liao, Che-Yi, et al.
Published: (2022)
Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models
by: Lee, Seungju, et al.
Published: (2025)
by: Lee, Seungju, et al.
Published: (2025)
Dynamic Spatio-Temporal Sequential Ordinal Models: Application to Invasive Weeds
by: Hosack, Geoffrey R., et al.
Published: (2025)
by: Hosack, Geoffrey R., et al.
Published: (2025)
A Zero-Inflated Spatio-Temporal Model for Integrating Fishery-Dependent and Independent Data under Preferential Sampling
by: Silva, Daniela, et al.
Published: (2025)
by: Silva, Daniela, et al.
Published: (2025)
A concordance coefficient for lattice data: An application to poverty indices in Chile
by: Vallejos, Ronny, et al.
Published: (2025)
by: Vallejos, Ronny, et al.
Published: (2025)
Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
by: Ferrari, Luisa, et al.
Published: (2026)
by: Ferrari, Luisa, et al.
Published: (2026)
Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
by: Lee, JoonHo
Published: (2026)
by: Lee, JoonHo
Published: (2026)
Modeling Spatio-Temporal Dynamics of Obesity in Italian Regions Via Bayesian Beta Regression
by: Rota, Luciano, et al.
Published: (2025)
by: Rota, Luciano, et al.
Published: (2025)
Model Selection for Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes
by: Franzolini, Beatrice, et al.
Published: (2022)
by: Franzolini, Beatrice, et al.
Published: (2022)
A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity
by: Peterson, Emily N, et al.
Published: (2025)
by: Peterson, Emily N, et al.
Published: (2025)
Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
by: Saddiki, Hachem, et al.
Published: (2025)
by: Saddiki, Hachem, et al.
Published: (2025)
On the PM2.5 -- Mortality Association: A Bayesian Model for Spatio-Temporal Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)
by: Zaccardi, Carlo, et al.
Published: (2024)
Function-valued marked spatial point processes on linear networks: application to urban cycling profiles
by: Eckardt, Matthias, et al.
Published: (2024)
by: Eckardt, Matthias, et al.
Published: (2024)
Atlanta Gun Violence Modeling via Nonstationary Spatio-temporal Point Processes
by: Dong, Zheng, et al.
Published: (2024)
by: Dong, Zheng, et al.
Published: (2024)
A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers
by: Wang, Yueting, et al.
Published: (2026)
by: Wang, Yueting, et al.
Published: (2026)
Spatio-Temporal Analysis of Public Transportation Undercrowding: Leveraging APC Data for a Comprehensive Evaluation of Usage Rates
by: Burzacchi, Arianna, et al.
Published: (2024)
by: Burzacchi, Arianna, et al.
Published: (2024)
Spatio-Temporal Differences in Bike Sharing Usage: A Tale of Six Cities
by: Kinoshita, Shu-ichi, et al.
Published: (2024)
by: Kinoshita, Shu-ichi, et al.
Published: (2024)
Spatially Varying Coefficient Models for Estimating Heterogeneous Mixture Effects
by: Englert, Jacob, et al.
Published: (2025)
by: Englert, Jacob, et al.
Published: (2025)
A Two-Step Spatio-Temporal Framework for Turbine-Height Wind Estimation at Unmonitored Sites from Sparse Meteorological Data
by: Organ, Eamonn, et al.
Published: (2026)
by: Organ, Eamonn, et al.
Published: (2026)
Estimating velocities of infectious disease spread through spatio-temporal log-Gaussian Cox point processes
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2024)
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2024)
High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
by: Bai, Peiliang
Published: (2026)
by: Bai, Peiliang
Published: (2026)
Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data
by: Chakrabarti, Arhit, et al.
Published: (2025)
by: Chakrabarti, Arhit, et al.
Published: (2025)
A Behavioral Scorecard Model Using Survival Analysis
by: Lee, Cheng, et al.
Published: (2025)
by: Lee, Cheng, et al.
Published: (2025)
Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
Spatio-Temporal Autoregressions for High Dimensional Matrix-Valued Time Series
by: Dou, Baojun, et al.
Published: (2025)
by: Dou, Baojun, et al.
Published: (2025)
Similar Items
-
Spatio-Temporal-Network Point Processes for Modeling Crime Events with Landmarks
by: Dong, Zheng, et al.
Published: (2024) -
Fast Computer Model Calibration using Annealed and Transformed Variational Inference
by: Cho, Dongkyu Derek, et al.
Published: (2022) -
Estimating Inhomogeneous Spatio-Temporal Background Intensity Functions using Graphical Dirichlet Processes
by: Bañales, Isaías, et al.
Published: (2025) -
Model-Based Clustering of Football Event Sequences: A Marked Spatio-Temporal Point Process Mixture Approach
by: Amezouwui, Koffi, et al.
Published: (2025) -
Prior selection for the precision parameter of Dirichlet Process Mixtures
by: Vicentini, Carlo, et al.
Published: (2025)