Imagen de Portada

Common Drivers in Sparsely Interacting Hawkes Processes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kreiss, Alexander, Mammen, Enno, Polonik, Wolfgang
Formato:	Preprint
Publicado:	2025
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Testing For Global Covariate Effects in Dynamic Interaction Event Networks
por: Kreiss, Alexander, et al.
Publicado: (2021)

Correlation bounds, mixing and m-dependence under random time-varying network distances with an application to Cox-Processes
por: Kreiss, Alexander
Publicado: (2019)

Asymptotic expansions for spectral convergence of compact self-adjoint operators on general spectral subsets, with application to kernel Gram matrices
por: Bae, Eunseong, et al.
Publicado: (2026)

Kernel smoothing on manifolds
por: Bae, Eunseong, et al.
Publicado: (2026)

Algorithms for ridge estimation with convergence guarantees
por: Qiao, Wanli, et al.
Publicado: (2021)

Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
por: Shi, Zhaoyang, et al.
Publicado: (2024)

Consistency of Random Forest Type Algorithms under a Probabilistic Impurity Decrease Condition
por: Blum, Ricardo, et al.
Publicado: (2023)

Semi-Parametric Estimation of Incubation and Generation Times by Means of Laguerre Polynomials
por: Kreiss, Alexander, et al.
Publicado: (2020)

Smooth Backfitting for Additive Hazard Rates
por: Bischofberger, Stephan M., et al.
Publicado: (2023)

Multivariate Gaussian Approximation for Random Forest via Region-based Stabilization
por: Shi, Zhaoyang, et al.
Publicado: (2024)

Testing for correlation between network structure and high-dimensional node covariates
por: Fuchs-Kreiss, Alexander, et al.
Publicado: (2025)

On the asymptotic normality of persistent Betti numbers
por: Krebs, Johannes, et al.
Publicado: (2019)

Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators
por: Shi, Zhaoyang, et al.
Publicado: (2024)

Detecting Periodicity of a General Stationary Time Series via AR(2)-Model Fitting
por: Kreiss, Jens-Peter, et al.
Publicado: (2025)

Gaussian Approximation for Lag-Window Estimators and the Construction of Confidence bands for the Spectral Density
por: Kreiss, Jens-Peter, et al.
Publicado: (2024)

Change Point Detection and Mean-Field Dynamics of Variable Productivity Hawkes Processes
por: Kresin, Conor, et al.
Publicado: (2025)

ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths
por: Dion-Blanc, Charlotte, et al.
Publicado: (2024)

Detecting Mutual Excitations in Non-Stationary Hawkes Processes
por: Mossel, Elchanan, et al.
Publicado: (2026)

Posterior concentration in spatio-temporal Hawkes processes
por: Miscouridou, Xenia, et al.
Publicado: (2026)

Spectral analysis of multivariate stationary Hawkes processes
por: Tang, Yifu, et al.
Publicado: (2026)

From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences
por: Tan, Xinzi, et al.
Publicado: (2026)

Provable local learning rule by expert aggregation for a Hawkes network
por: Jaffard, Sophie, et al.
Publicado: (2023)

On Observation Time for Recovering Latent Hawkes Networks
por: Linkerhägner, Jonas, et al.
Publicado: (2026)

Hawkes process with a diffusion-driven baseline: long-run behavior, inference, statistical tests
por: Perrin, Maya Sadeler, et al.
Publicado: (2025)

CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
por: Jaffard, Sophie, et al.
Publicado: (2024)

Sparse Factor Analysis for Categorical Data with the Group-Sparse Generalized Singular Value Decomposition
por: Yu, Ju-Chi, et al.
Publicado: (2024)

Modeling Innovation Ecosystem Dynamics through Interacting Reinforced Bernoulli Processes
por: Aletti, Giacomo, et al.
Publicado: (2025)

Robust Sparse Recovery with Sparse Bernoulli matrices via Expanders
por: Abdalla, Pedro
Publicado: (2021)

Online Sparse Regression with Expanding Observables
por: Yang, Ying, et al.
Publicado: (2026)

Matching Criterion for Identifiability in Sparse Factor Analysis
por: Sturma, Nils, et al.
Publicado: (2025)

Strong Consistency of Sparse K-means Clustering
por: Kim, Jeungju, et al.
Publicado: (2025)

Iterative Collaborative Filtering for Sparse Matrix Estimation
por: Borgs, Christian, et al.
Publicado: (2017)

Asymptotic Bayes Optimality for Sparse Count Data
por: Paul, Sayantan, et al.
Publicado: (2024)

Sparse Mixture Models inspired by ANOVA Decompositions
por: Hertrich, Johannes, et al.
Publicado: (2021)

Bayesian Sparse Gaussian Mixture Model in High Dimensions
por: Yao, Dapeng, et al.
Publicado: (2022)

Projective, Sparse, and Learnable Latent Position Network Models
por: Spencer, Neil A., et al.
Publicado: (2017)

On Ridge Estimation in High-dimensional Rotationally Sparse Linear Regression
por: Liang, Libin, et al.
Publicado: (2024)

Learning with Sparsely Permuted Data: A Robust Bayesian Approach
por: Chakraborty, Abhisek, et al.
Publicado: (2024)

Functional Limit Theorems for Hawkes Processes
por: Horst, Ulrich, et al.
Publicado: (2024)

Driver Identification and PCA Augmented Selection Shrinkage Framework for Nordic System Price Forecasting
por: Sadabad, Yousef Adeli, et al.
Publicado: (2025)