A multi-stage Bayesian approach to fit spatial point process models
Fuente:
arXiv
Saved in:
| Main Authors: | Ren, Rachael, Hooten, Mevin B., Schafer, Toryn L. J., Calzada, Nicholas M., Hoose, Benjamin, Womble, Jamie N., Gende, Scott |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024)
by: Schwob, Michael R., et al.
Published: (2024)
Recursive Adaptive Importance Sampling with Optimal Replenishment
by: Barreto, Daniel Würzler, et al.
Published: (2025)
by: Barreto, Daniel Würzler, et al.
Published: (2025)
Geostatistical capture-recapture models
by: Hooten, Mevin B, et al.
Published: (2023)
by: Hooten, Mevin B, et al.
Published: (2023)
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)
by: Koslovsky, Matthew D., et al.
Published: (2023)
Trend and Variance Adaptive Bayesian Changepoint Analysis & Local Outlier Scoring
by: Wu, Haoxuan, et al.
Published: (2020)
by: Wu, Haoxuan, et al.
Published: (2020)
Composite Dyadic Models for Spatio-Temporal Data
by: Schwob, Michael R, et al.
Published: (2023)
by: Schwob, Michael R, et al.
Published: (2023)
Network knockoffs: controlling false discovery in dyadic space
by: Van Ee, Justin, et al.
Published: (2026)
by: Van Ee, Justin, et al.
Published: (2026)
Spatial Knockoff Bayesian Variable Selection in Genome-Wide Association Studies
by: Van Ee, Justin J., et al.
Published: (2024)
by: Van Ee, Justin J., et al.
Published: (2024)
Drift vs Shift: Decoupling Trends and Changepoint Analysis
by: Wu, Haoxuan, et al.
Published: (2022)
by: Wu, Haoxuan, et al.
Published: (2022)
Dyadic Flow Models for Nonstationary Gene Flow in Landscape Genomics
by: Schwob, Michael R., et al.
Published: (2025)
by: Schwob, Michael R., et al.
Published: (2025)
Validating uncertainty propagation approaches for two-stage Bayesian spatial models using simulation-based calibration
by: Villejo, Stephen Jun, et al.
Published: (2025)
by: Villejo, Stephen Jun, et al.
Published: (2025)
On minimum contrast method for multivariate spatial point processes
by: Zhu, Lin, et al.
Published: (2022)
by: Zhu, Lin, et al.
Published: (2022)
Dynamic social networks based on movement
by: Scharf, Henry R., et al.
Published: (2015)
by: Scharf, Henry R., et al.
Published: (2015)
Nonparametric inference for nonstationary spatial point processes
by: Nolau, Izabel, et al.
Published: (2025)
by: Nolau, Izabel, et al.
Published: (2025)
On goodness-of-fit testing for self-exciting point processes
by: Kling, José C. F., et al.
Published: (2024)
by: Kling, José C. F., et al.
Published: (2024)
Pseudo-spectra of multivariate inhomogeneous spatial point processes
by: Ding, Qi-Wen, et al.
Published: (2025)
by: Ding, Qi-Wen, et al.
Published: (2025)
Spectral estimation for spatial point processes and random fields
by: Grainger, Jake P., et al.
Published: (2023)
by: Grainger, Jake P., et al.
Published: (2023)
Fourier analysis of spatial point processes
by: Yang, Junho, et al.
Published: (2024)
by: Yang, Junho, et al.
Published: (2024)
On spatial point processes with composition-valued marks
by: Eckardt, Matthias, et al.
Published: (2025)
by: Eckardt, Matthias, et al.
Published: (2025)
Goodness-of-fit tests for spatial point processes: A review
by: Fend, Chiara, et al.
Published: (2025)
by: Fend, Chiara, et al.
Published: (2025)
Rejoinder on "Marked spatial point processes: current state and extensions to point processes on linear networks"
by: Eckardt, Matthias, et al.
Published: (2024)
by: Eckardt, Matthias, et al.
Published: (2024)
Nonparametric intensity estimation of spatial point processes by random forests
by: Biscio, Christophe, et al.
Published: (2025)
by: Biscio, Christophe, et al.
Published: (2025)
Goodness-of-fit test for multi-layer stochastic block models
by: Qing, Huan
Published: (2025)
by: Qing, Huan
Published: (2025)
Bayesian spatial+: A joint model perspective
by: Marques, Isa, et al.
Published: (2023)
by: Marques, Isa, et al.
Published: (2023)
Goodness-of-fit tests for spatial point processes: A power study
by: Fend, Chiara, et al.
Published: (2025)
by: Fend, Chiara, et al.
Published: (2025)
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
by: Morsomme, Raphael, et al.
Published: (2024)
by: Morsomme, Raphael, et al.
Published: (2024)
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
by: Urdangarin, A., et al.
Published: (2023)
by: Urdangarin, A., et al.
Published: (2023)
Bayesian inference for Neyman-Scott point processes with anisotropic clusters
by: Dvořák, Jiří, et al.
Published: (2025)
by: Dvořák, Jiří, et al.
Published: (2025)
Second-order characteristics for spatial point processes with graph-valued marks
by: Eckardt, Matthias, et al.
Published: (2024)
by: Eckardt, Matthias, et al.
Published: (2024)
Efficient Bayesian inference for two-stage models in environmental epidemiology
by: Larin, Konstantin, et al.
Published: (2025)
by: Larin, Konstantin, et al.
Published: (2025)
Minimum contrast for the first-order intensity estimation of spatial and spatio-temporal point processes
by: D'Angelo, Nicoletta, et al.
Published: (2023)
by: D'Angelo, Nicoletta, et al.
Published: (2023)
Bayesian modeling of spatial ordinal data from health surveys
by: Sánchez, Miguel Ángel Beltrán, et al.
Published: (2024)
by: Sánchez, Miguel Ángel Beltrán, et al.
Published: (2024)
Robust variable selection for spatial point processes observed with noise
by: Sturm, Dominik, et al.
Published: (2025)
by: Sturm, Dominik, et al.
Published: (2025)
Joint leave-group-out cross-validation in Bayesian spatial models
by: Cooper, Alex, et al.
Published: (2025)
by: Cooper, Alex, et al.
Published: (2025)
Bayesian modeling of nearly mutually orthogonal processes
by: Matuk, James, et al.
Published: (2022)
by: Matuk, James, et al.
Published: (2022)
Joint identification of spatially variable genes via a network-assisted Bayesian regularization approach
by: Wu, Mingcong, et al.
Published: (2024)
by: Wu, Mingcong, et al.
Published: (2024)
Selecting fitted models under epistemic uncertainty using a stochastic process on quantile functions
by: René, Alexandre, et al.
Published: (2024)
by: René, Alexandre, et al.
Published: (2024)
Continuous mixtures of Gaussian processes as models for spatial extremes
by: Dell'Oro, Lorenzo, et al.
Published: (2026)
by: Dell'Oro, Lorenzo, et al.
Published: (2026)
Bayesian inference for case-control point pattern data in spatial epidemiology with the \texttt{inlabru} R package
by: Palmí-Perales, Francisco, et al.
Published: (2025)
by: Palmí-Perales, Francisco, et al.
Published: (2025)
BARD: A seamless two-stage dose optimization design integrating backfill and adaptive randomization
by: Zhao, Yixuan, et al.
Published: (2024)
by: Zhao, Yixuan, et al.
Published: (2024)
Similar Items
-
Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024) -
Recursive Adaptive Importance Sampling with Optimal Replenishment
by: Barreto, Daniel Würzler, et al.
Published: (2025) -
Geostatistical capture-recapture models
by: Hooten, Mevin B, et al.
Published: (2023) -
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023) -
Trend and Variance Adaptive Bayesian Changepoint Analysis & Local Outlier Scoring
by: Wu, Haoxuan, et al.
Published: (2020)