Cover Image

Probabilistic Context Neighborhood Model for Lattices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Magalhaes, Debora F., Piroutek, Aline M., Duarte, Denise, Alves, Caio
Format:	Preprint
Published:	2024
Subjects:	Methodology 62M15, 62M30
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Balancing the edge effect and dimension of spectral spatial statistics under irregular sampling with applications to isotropy testing
by: Eckle, Theresa, et al.
Published: (2024)

A model-free test of the time-reversibility of climate change processes
by: Goto, Yuichi, et al.
Published: (2024)

Bayesian joint quantile autoregression
by: Castillo-Mateo, Jorge, et al.
Published: (2023)

Statistical Inference for Local Granger Causality
by: Liu, Yan, et al.
Published: (2021)

Moderation effects and elasticities in compositional regression with a total. Application to Bayesian spatiotemporal modelling of all-cause mortality from environmental stressors
by: Coenders, Germà, et al.
Published: (2025)

Functional summary statistics and testing for independence in marked point processes on the surface of three dimensional convex shapes
by: Ward, Scott, et al.
Published: (2024)

Manifold-valued models for analysis of EEG time series data
by: Ding, Tao, et al.
Published: (2024)

A comparison between initialization strategies for the infinite hidden Markov model
by: Cortese, Federico P., et al.
Published: (2025)

Bayesian inference on the order of stationary vector autoregressions
by: Binks, Rachel L., et al.
Published: (2023)

Spatio-Temporal Jump Model for Urban Thermal Comfort Monitoring
by: Cortese, Federico P., et al.
Published: (2024)

Online Spectral Density Estimation
by: Kazi, Shahriar Hasnat, et al.
Published: (2025)

Parametric generalized spectrum for heavy-tailed time series
by: Goto, Yuichi, et al.
Published: (2026)

Residual spectrum: Brain functional connectivity detection beyond coherence
by: Goto, Yuichi, et al.
Published: (2023)

Regularized Estimation of Sparse Spectral Precision Matrices
by: Deb, Navonil, et al.
Published: (2024)

Orthogonalized Kernel Regression for Spatial and Spatio-Temporal Residual Risk: Application to School Shootings in the Contiguous United States
by: Davies, Tilman M., et al.
Published: (2026)

Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
by: Mukherjee, Arghya, et al.
Published: (2025)

Enhancing Seasonal Adjustment Space Models: Constraints and Regularization for Improved Trend and AR Decomposition
by: Kitagawa, Genshiro
Published: (2025)

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
by: Rodeschini, Jacopo, et al.
Published: (2025)

Simultaneous Graphical Dynamic Modeling
by: West, Mike, et al.
Published: (2024)

Euclidean mirrors and first-order changepoints in network time series
by: Chen, Tianyi, et al.
Published: (2024)

Stochastic Volatility under Informative Missingness
by: Zhang, Gehui, et al.
Published: (2025)

Structured prior distributions for the covariance matrix in latent factor models
by: Heaps, Sarah Elizabeth, et al.
Published: (2022)

First-order integer-valued autoregressive processes with Generalized Katz innovations
by: Lopez, Ovielt Baltodano, et al.
Published: (2022)

Multiscale Autoregression on Adaptively Detected Timescales
by: Baranowski, Rafal, et al.
Published: (2024)

Bayesian copula-based spatial random effects models for inference with complex spatial data
by: Pearse, Alan, et al.
Published: (2025)

Bayesian Dynamic Modeling of Realized Volatility in Financial Asset Price Forecasting
by: Woitschig, Patrick, et al.
Published: (2026)

Decision synthesis in monetary policy
by: Chernis, Tony, et al.
Published: (2024)

Estimating the hyperuniformity exponent of point processes
by: Mastrilli, Gabriel, et al.
Published: (2024)

Rolling-Origin Conformal Prediction under Local Stationarity and Weak Dependence
by: Halkiewicz, Stanisław M. S.
Published: (2026)

Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models
by: Ruiz, Trevor D., et al.
Published: (2019)

Order selection in GARMA models for count time series: a Bayesian perspective
by: Lastra, Katerine Zuniga, et al.
Published: (2024)

Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case --
by: Kitagawa, Genshiro
Published: (2026)

Explaining the unexplainable: leveraging extremal dependence to characterize the 2021 Pacific Northwest heatwave
by: Zhang, Likun, et al.
Published: (2023)

Directional Asymmetry in Edge BasedSpatial Models via a Skew Normal Prior
by: Cruz-Reyes, Danna L., et al.
Published: (2026)

Compositional dynamic modelling for causal prediction in multivariate time series
by: Li, Kevin, et al.
Published: (2024)

On the Validity of Isotropic Covariance Functions for Set-indexed Random Fields
by: Godoy, Lucas da Cunha, et al.
Published: (2025)

Decentralized Inference for Spatial Data Using Low-Rank Models
by: Shi, Jianwei, et al.
Published: (2025)

Influence network reconstruction from discrete time-series of count data modelled by multidimensional Hawkes processes
by: Santitissadeekorn, Naratip, et al.
Published: (2025)

XGBoostPP: Tree-based Estimation of Point Process Intensity Functions
by: Lu, C., et al.
Published: (2024)

A Robust Topological Framework for Detecting Regime Changes in Multi-Trial Experiments with Application to Predictive Maintenance
by: El-Yaagoubi, Anass B., et al.
Published: (2024)