A flexible and interpretable spatial covariance model for data on graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Christensen, Michael F., Hoff, Peter D. |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A flexible and interpretable spatial covariance model for data on graphs
by: Michael F. Christensen, et al.
Published: (2024)
by: Michael F. Christensen, et al.
Published: (2024)
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
by: Blasi, Federico, et al.
Published: (2024)
by: Blasi, Federico, et al.
Published: (2024)
A dimension reduction approach to edge weight estimation for use in spatial models
by: Christensen, Michael F., et al.
Published: (2024)
by: Christensen, Michael F., et al.
Published: (2024)
Analysis of spatially clustered survival data with unobserved covariates using SBART
by: Ghosh, Durbadal, et al.
Published: (2024)
by: Ghosh, Durbadal, et al.
Published: (2024)
Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
by: Sondhi, Arjun, et al.
Published: (2024)
by: Sondhi, Arjun, et al.
Published: (2024)
Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
by: Berrettini, Marco, et al.
Published: (2021)
by: Berrettini, Marco, et al.
Published: (2021)
Marginally interpretable spatial logistic regression with bridge processes
by: Lee, Changwoo J., et al.
Published: (2024)
by: Lee, Changwoo J., et al.
Published: (2024)
A regularized multi-state model for covariate selection with interval-censored survival data
by: Bercu, Ariane, et al.
Published: (2025)
by: Bercu, Ariane, et al.
Published: (2025)
A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data
by: Liu, Yusha, et al.
Published: (2022)
by: Liu, Yusha, et al.
Published: (2022)
A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
by: Wang, Zhuoqun, et al.
Published: (2021)
by: Wang, Zhuoqun, et al.
Published: (2021)
Decomposing Network Influence: Social Influence Regression
by: Minhas, Shahryar, et al.
Published: (2017)
by: Minhas, Shahryar, et al.
Published: (2017)
Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
by: Wang, Ziyou, et al.
Published: (2026)
by: Wang, Ziyou, et al.
Published: (2026)
Direct covariance matrix estimation with compositional data
by: Molstad, Aaron J., et al.
Published: (2022)
by: Molstad, Aaron J., et al.
Published: (2022)
Hybrid methods for missing categorical covariates in Cox model
by: Dioni, Abdoulaye, et al.
Published: (2025)
by: Dioni, Abdoulaye, et al.
Published: (2025)
A monotone single index model for spatially referenced multistate current status data
by: Das, Snigdha, et al.
Published: (2025)
by: Das, Snigdha, 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)
The trade-off between model flexibility and accuracy of the Expected Threat model in football
by: van Arem, Koen W., et al.
Published: (2025)
by: van Arem, Koen W., et al.
Published: (2025)
Tree models for covariate-dependent method agreement with repeated measurements in clinical research
by: Karapetyan, Siranush, et al.
Published: (2026)
by: Karapetyan, Siranush, et al.
Published: (2026)
A novel smoothing-based goodness-of-fit test of covariance for multivariate sparse functional data
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)
Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)
by: Xu, Zichun, et al.
Published: (2026)
Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
by: André, Lídia M., et al.
Published: (2025)
by: André, Lídia M., et al.
Published: (2025)
A new test for assessing the covariate effect in ROC curves
by: Fanjul-Hevia, Arís, et al.
Published: (2024)
by: Fanjul-Hevia, Arís, et al.
Published: (2024)
Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024)
by: Chandna, Swati, et al.
Published: (2024)
Clustering-based spatial interpolation of parametric post-processing models
by: Baran, Sándor, et al.
Published: (2024)
by: Baran, Sándor, et al.
Published: (2024)
Incorporating circuit theory into a dynamic model for crowd-sourced observations of migratory birds
by: Christensen, Michael F., et al.
Published: (2024)
by: Christensen, Michael F., et al.
Published: (2024)
Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)
by: Retegui, Garazi, et al.
Published: (2024)
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022)
by: Rustand, Denis, et al.
Published: (2022)
Feature aware covariance estimation, with application to mixtures of chemical exposures
by: Bersson, Elizabeth, et al.
Published: (2025)
by: Bersson, Elizabeth, et al.
Published: (2025)
On the estimation and interpretation of effect size metrics
by: Loukas, Orestis, et al.
Published: (2024)
by: Loukas, Orestis, et al.
Published: (2024)
Distribution-free screening of spatially variable genes in spatial transcriptomics
by: Wang, Changhu, et al.
Published: (2026)
by: Wang, Changhu, et al.
Published: (2026)
Bias reduction in g-computation for covariate adjustment in randomized clinical trials
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
by: Sidrow, Evan, et al.
Published: (2024)
by: Sidrow, Evan, et al.
Published: (2024)
Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
by: Pakrashi, Anis, et al.
Published: (2024)
by: Pakrashi, Anis, et al.
Published: (2024)
Fast spatial simulation of extreme high-resolution radar precipitation data using INLA
by: Vandeskog, Silius M., et al.
Published: (2023)
by: Vandeskog, Silius M., et al.
Published: (2023)
A unified approach to spatial domain detection and cell-type deconvolution in spot-based spatial transcriptomics
by: Koo, Hyun Jung, et al.
Published: (2025)
by: Koo, Hyun Jung, et al.
Published: (2025)
Multivariate longitudinal modeling of cross-sectional and lagged associations between a continuous time-varying endogenous covariate and a non-Gaussian outcome
by: Degan, Chiara, et al.
Published: (2025)
by: Degan, Chiara, et al.
Published: (2025)
A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
by: Briz-Redón, Álvaro, et al.
Published: (2025)
by: Briz-Redón, Álvaro, et al.
Published: (2025)
Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
by: Ameis, Lucia, et al.
Published: (2026)
by: Ameis, Lucia, et al.
Published: (2026)
Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
by: Chen, Xinyuan, et al.
Published: (2023)
by: Chen, Xinyuan, et al.
Published: (2023)
cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
by: Govan, Emma, et al.
Published: (2024)
by: Govan, Emma, et al.
Published: (2024)
Similar Items
-
A flexible and interpretable spatial covariance model for data on graphs
by: Michael F. Christensen, et al.
Published: (2024) -
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
by: Blasi, Federico, et al.
Published: (2024) -
A dimension reduction approach to edge weight estimation for use in spatial models
by: Christensen, Michael F., et al.
Published: (2024) -
Analysis of spatially clustered survival data with unobserved covariates using SBART
by: Ghosh, Durbadal, et al.
Published: (2024) -
Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
by: Sondhi, Arjun, et al.
Published: (2024)