Imagen de Portada

Local Indicators of Mark Association for Spatial Marked Point Processes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Eckardt, Matthias, Moradi, Mehdi
Formato:	Preprint
Publicado:	2024
Materias:	Methodology Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Multiscale Topological Inference for Marked Point Processes via Euler Characteristic Envelopes
por: Eckardt, Matthias, et al.
Publicado: (2026)

Rejoinder on "Marked spatial point processes: current state and extensions to point processes on linear networks"
por: Eckardt, Matthias, et al.
Publicado: (2024)

Testing the Structural Properties of Marked Point Processes Using Local Inhomogeneous Mark-Weighted K-Functions
por: D'Angelo, Nicoletta, et al.
Publicado: (2026)

Inhomogeneous mark correlation functions for general marked point processes
por: Moradi, Mehdi, et al.
Publicado: (2025)

Function-valued marked spatial point processes on linear networks: application to urban cycling profiles
por: Eckardt, Matthias, et al.
Publicado: (2024)

Uncovering Local Heterogeneity: Local Summary Characteristics for Spatial Point Processes with Composition-Valued Marks
por: Baldzuhn, Clemens, et al.
Publicado: (2026)

ldmppr: Location Dependent Marked Point Processes in R
por: Drew, Lane, et al.
Publicado: (2026)

Second-order characteristics for spatial point processes with graph-valued marks
por: Eckardt, Matthias, et al.
Publicado: (2024)

On spatial point processes with composition-valued marks
por: Eckardt, Matthias, et al.
Publicado: (2025)

Spatiotemporal Autoregressive Models for Areal Compositional Data
por: Eckardt, Matthias, et al.
Publicado: (2025)

Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
por: Lee, Jooyeon, et al.
Publicado: (2025)

A New Class of Mark-Specific Proportional Hazards Models for Recurrent Events: Application to Opioid Refills Among Post-Surgical Patients
por: Yang, Eileen, et al.
Publicado: (2025)

Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process
por: Majumder, Reetam, et al.
Publicado: (2022)

Adaptive Block-Based Change-Point Detection for Sparse Spatially Clustered Data with Applications in Remote Sensing Imaging
por: Moore, Alan, et al.
Publicado: (2025)

Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
por: Zhu, Zihan, et al.
Publicado: (2026)

Detecting Spatial Outliers: the Role of the Local Influence Function
por: Arbia, Giuseppe, et al.
Publicado: (2024)

Standardized Descriptive Index for Measuring Deviation and Uncertainty in Psychometric Indicators
por: Muñoz, Mark Dominique Dalipe
Publicado: (2025)

Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
por: Wakayama, Tomoya, et al.
Publicado: (2024)

Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data
por: Chakrabarti, Arhit, et al.
Publicado: (2025)

Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
por: Sottosanti, Andrea, et al.
Publicado: (2025)

What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients
por: Cao, Jiahao, et al.
Publicado: (2025)

An Empirical Study: Extensive Deep Temporal Point Process
por: Lin, Haitao, et al.
Publicado: (2021)

On Robust Measures of Spatial Correlation
por: Nardelli, Vincenzo, et al.
Publicado: (2024)

Nonparametric Monitoring of Spatial Dependence
por: Adämmer, Philipp, et al.
Publicado: (2024)

RESAPLE: An Approximate One-Step Restricted Likelihood Estimator of Spatial Dependence for Exploratory Spatial Analysis
por: Khan, Aditya, et al.
Publicado: (2026)

Spatial Deep Convolutional Neural Networks
por: Wang, Qi, et al.
Publicado: (2024)

Multi-dimensional Mortality (MDMx): Sex-Age-Specific Model Life Tables, Fitting, Prediction from Summary Mortality Indicators, and Forecasting
por: Clark, Samuel J.
Publicado: (2026)

Joint Modelling of Line and Point Data on Metric Graphs
por: Lilleborge, Karina, et al.
Publicado: (2025)

Causal Inference for Continuous Multiple Time Point Interventions
por: Schomaker, Michael, et al.
Publicado: (2023)

Creating a Spatial Vulnerability Index for Environmental Health
por: Price, Aiden, et al.
Publicado: (2024)

A General Method for Resampling Autocorrelated Spatial Data
por: Arthur, Rudy
Publicado: (2024)

svc: An R package for Spatially Varying Coefficient Models
por: Akuoko-Frimpong, Justice, et al.
Publicado: (2025)

The Use of Variational Inference for Lifetime Data with Spatial Correlations
por: Wang, Yueyao, et al.
Publicado: (2025)

Detecting Spatial Health Disparities Using Disease Maps
por: Aiello, Luca, et al.
Publicado: (2023)

Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching
por: Kim, Honghyok, et al.
Publicado: (2022)

Gimbal Regression: Orientation-Adaptive Local Linear Regression under Spatial Heterogeneity
por: Otani, Yuichiro
Publicado: (2026)

Effective Degrees of Freedom for Balanced Repeated Replication and Paired Jackknife Variance Estimates: A Unified Approach via Stratum Contrasts
por: von Davier, Matthias
Publicado: (2026)

Network Modeling of Asynchronous Change-Points in Multivariate Time Series
por: McKee, Carson, et al.
Publicado: (2025)

Bayesian Multilevel Bivariate Spatial Modelling of Italian School Data
por: Cefalo, Leonardo, et al.
Publicado: (2024)

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
por: Dey, Pritam, et al.
Publicado: (2026)