Cover Image

SAR models with specific spatial coefficients and heteroskedastic innovations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cruz, N. A., Romero, D. A., Melo, O. O.
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spatial error models with heteroskedastic normal perturbations and joint modeling of mean and variance
by: Toloza, J. D., et al.
Published: (2024)

Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices
by: Toloza-Delgado, J. D., et al.
Published: (2024)

Generalized spatial autoregressive model
by: Cruz, N. A., et al.
Published: (2024)

Functional varying-coefficient model under heteroskedasticity with application to DTI data
by: Niyogi, Pratim Guha, et al.
Published: (2022)

Estimation and imputation of missing data in longitudinal models with Zero-Inflated Poisson response variable
by: Martinez-Lobo, D. S., et al.
Published: (2024)

Analysis of longitudinal data with destructive sampling using linear mixed models
by: Avellaneda, C. A., et al.
Published: (2024)

Sub-model aggregation for scalable eigenvector spatial filtering: Application to spatially varying coefficient modeling
by: Murakami, Daisuke, et al.
Published: (2024)

Overidentification testing with weak instruments and heteroskedasticity
by: Lane, Stuart, et al.
Published: (2025)

Optimal heteroskedasticity testing in nonparametric regression
by: Kotekal, Subhodh, et al.
Published: (2023)

Vecchia approximated Bayesian heteroskedastic Gaussian processes
by: Patil, Parul V., et al.
Published: (2025)

Penalized GEE for Complex Carry-Over in Repeated-Measures Crossover Designs
by: Cruz, N. A., et al.
Published: (2024)

Joint semi-parametric INAR bootstrap inference for model coefficients and innovation distribution
by: Faymonville, Maxime, et al.
Published: (2025)

A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
by: Urdangarin, A., et al.
Published: (2023)

Efficient bayesian spatially varying coefficients modeling for censored data using the vecchia approximation
by: Idir, Yacine Mohamed, et al.
Published: (2025)

Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
by: Zhou, Yuchen, et al.
Published: (2023)

Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
by: Shi, Muyang, et al.
Published: (2024)

Selection of functional predictors and smooth coefficient estimation for scalar-on-function regression models
by: Fathi, Hedayat, et al.
Published: (2025)

Coarse-to-fine spatial modeling: A scalable, machine-learning-compatible spatial model
by: Murakami, Daisuke, et al.
Published: (2025)

Mapping food insecurity in the Brazilian Amazon using a spatial item factor analysis model
by: Chacón-Montalván, Erick A., et al.
Published: (2018)

A flexible and interpretable spatial covariance model for data on graphs
by: Christensen, Michael F., et al.
Published: (2022)

Weighted model calibration with spatial conditional information
by: Nguyen, Michele, et al.
Published: (2025)

Bayesian spatial+: A joint model perspective
by: Marques, Isa, et al.
Published: (2023)

Varying coefficient model for longitudinal data with informative observation times
by: Gu, Yu, et al.
Published: (2026)

A multi-stage Bayesian approach to fit spatial point process models
by: Ren, Rachael, et al.
Published: (2025)

A functional spatial autoregressive model using signatures
by: Frévent, Camille
Published: (2023)

Copula-based models for spatially dependent cylindrical data
by: Labanca, Francesca, et al.
Published: (2026)

Fast spatio-temporally varying coefficient modeling with reluctant interaction selection
by: Murakami, Daisuke, et al.
Published: (2024)

Information matrix test for normality of innovations in stationary time series models
by: Liu, Zixuan, et al.
Published: (2024)

Fast and flexible inference for spatial extremes
by: Zhong, Peng, et al.
Published: (2024)

Path-specific causal decomposition analysis with multiple correlated mediator variables
by: Smith, Melissa J., et al.
Published: (2023)

A varying-coefficient model for characterizing duration-driven heterogeneity in flood-related health impacts
by: Aggarwal, Sarika, et al.
Published: (2026)

Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models
by: Miao, Xin, et al.
Published: (2025)

A multivariate spatial model for ordinal survey-based data
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)

Bayesian modeling of spatial ordinal data from health surveys
by: Sánchez, Miguel Ángel Beltrán, et al.
Published: (2024)

Generalized linear models with spatial dependence and a functional covariate
by: Kim, Sooran, et al.
Published: (2024)

A tool to determine the degrees of freedom in tree-structured varying coefficient models
by: Spuck, Nikolai, et al.
Published: (2026)

Locally sparse varying coefficient mixed model with application to longitudinal microbiome differential abundance
by: Fontaine, Simon, et al.
Published: (2026)

Modelling the impact of Multi Cancer Early Detection tests: a review of natural history of disease models
by: Mandrik, O, et al.
Published: (2025)

Distributed model building and recursive integration for big spatial data modeling
by: Hector, Emily C., et al.
Published: (2023)

Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates
by: Sun, Zhuowei, et al.
Published: (2023)