Cover Image

State-Space Modeling of Time-Varying Spillovers on Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Papamichalis, Marios, Ruane, Regina, Papamichalis, Theofanis
Format:	Preprint
Published:	2025
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Collapsed Structured Block Models for Community Detection in Complex Networks
by: Papamichalis, Marios, et al.
Published: (2026)

Graphon-Level Bayesian Predictive Synthesis for Random Network
by: Papamichalis, Marios, et al.
Published: (2025)

CoLaS: Copula-Seeded Sparse Local Graphs with Tunable Assortativity, Persistent Clustering, and a Degree-Tail Dichotomy
by: Papamichalis, Marios, et al.
Published: (2025)

Wavelet Latent Position Exponential Random Graphs
by: Papamichalis, Marios, et al.
Published: (2025)

Decision-Theoretic Robustness for Network Models
by: Papamichalis, Marios, et al.
Published: (2026)

Radial Compensation: Fixing Radius Distortion in Chart-Based Generative Models on Riemannian Manifolds
by: Papamichalis, Marios, et al.
Published: (2025)

How Eviction Court Governs: A Statistical Analysis of Bargaining, Templates, and Debt in Philadelphia
by: Papamichalis, Marios, et al.
Published: (2026)

Support-Safe Variational Hybrid Filtering for Contact-Mode and Sparse-Law Recovery
by: Papamichalis, Marios, et al.
Published: (2026)

Legal Infrastructure Organizes Eviction: Evidence from Philadelphia
by: Papamichalis, Marios, et al.
Published: (2026)

High-Volume Plaintiff-Side Counsel and Single-Appearance Eviction Cases in Philadelphia
by: Papamichalis, Marios, et al.
Published: (2026)

Learning Time-Varying Correlation Networks with FDR Control via Time-Varying P-values
by: Li, Bufan, et al.
Published: (2025)

Group Cooperation Diverges onto Durable Low versus High Paths: Public Goods Experiments in 134 Honduran Villages
by: Papamichalis, Marios, et al.
Published: (2025)

Simultaneous Sieve Estimation and Inference for Time-Varying Nonlinear Time Series Regression
by: Ding, Xiucai, et al.
Published: (2025)

Spatially Varying Coefficient Mallows Model Averaging
by: Yong, Zhuang, et al.
Published: (2026)

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
by: Shi, Jieru, et al.
Published: (2023)

Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
by: Lu, Yu, et al.
Published: (2026)

Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)

Hyperbolic Network Latent Space Model with Learnable Curvature
by: Li, Jinming, et al.
Published: (2023)

Selective Inference for Time-Varying Effect Moderation
by: Bakshi, Soham, et al.
Published: (2024)

Self-Organizing State-Space Models with Artificial Dynamics
by: Chen, Yuan, et al.
Published: (2024)

Minimax estimation for Varying Coefficient Model via Laguerre Series
by: Benhaddou, Rida, et al.
Published: (2026)

Asymmetric Space-Time Covariance Functions via Hierarchical Mixtures
by: Ma, Pulong
Published: (2025)

Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
by: Zhang, Xuhui, et al.
Published: (2023)

Estimation of the Spectral Measure from ConvexCombinations of Regularly Varying RandomVectors
by: Oesting, Marco, et al.
Published: (2020)

A Generalized Adaptive Joint Learning Framework for High-Dimensional Time-Varying Models
by: Chen, Baolin, et al.
Published: (2026)

Joint Quantile Shrinkage: A State-Space Approach toward Non-Crossing Bayesian Quantile Models
by: Kohns, David, et al.
Published: (2025)

Generalized Network Psychometrics: Combining Network and Latent Variable Models
by: Epskamp, Sacha, et al.
Published: (2016)

Model Selection for Unit-root Time Series with Many Predictors
by: Huang, Shuo-Chieh, et al.
Published: (2025)

Determine the Number of States in Hidden Markov Models via Marginal Likelihood
by: Chen, Yang, et al.
Published: (2024)

Factor Strength Estimation in Vector and Matrix Time Series Factor Models
by: Chen, Weilin, et al.
Published: (2024)

A Simple and Effective Random Forest Modelling for Nonlinear Time Series Data
by: Zhang, Shihao, et al.
Published: (2025)

Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions
by: Bu, Qiushi, et al.
Published: (2026)

The General Formulation of Loss-Based Priors for Parameter Spaces
by: Villa, Cristiano
Published: (2026)

Sharp Debiasing for Smooth Functional Estimation in Banach Spaces
by: Chang, Woonyoung, et al.
Published: (2026)

Consistency of Nonparametric Density Estimators in CAT(0) Orthant Space
by: Takazawa, Yuki, et al.
Published: (2025)

Accurate and Efficient Approximation of the Null Distribution of Rao's Spacing Test
by: Kinoshita, Yoshiki, et al.
Published: (2026)

Large-scale Multiple Testing of Cross-covariance Functions with Applications to Functional Network Models
by: Fang, Qin, et al.
Published: (2024)

On the Estimation of Anisotropic Covariance Functions on Compact Two-Point Homogeneous Spaces
by: Caponera, Alessia
Published: (2025)

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
by: Wang, Xueqin, et al.
Published: (2021)

Compositional Periodic Spline Approximation for Circular Density Data in Bayes Spaces
by: Machalová, Jitka, et al.
Published: (2026)