Copertina

On the Validity of Isotropic Covariance Functions for Set-indexed Random Fields

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Godoy, Lucas da Cunha, Prates, Marcos Oliveira, Quintana, Fernando Andrés, Yan, Jun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology 62M99 (Primary), 62M30 (Primary), 60K99 (Secondary)
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Gaussian Process State-Space Modeling and Particle Filtering for Time Series Decomposition and Nonlinear Signal Extraction
di: Kitagawa, Genshiro
Pubblicazione: (2025)

A model and method for analyzing the precision of binary measurement methods based on beta-binomial distributions, and related statistical tests
di: Takeshita, Jun-ichi, et al.
Pubblicazione: (2020)

Online Prediction For Streaming Observational Data
di: Clarke, Bertrand, et al.
Pubblicazione: (2025)

Restricted Path Characteristic Function Determines the Law of Stochastic Processes
di: Li, Siran, et al.
Pubblicazione: (2024)

Confidence Sets for Causal Orderings
di: Wang, Y. Samuel, et al.
Pubblicazione: (2023)

A multivariate Birnbaum-Saunders autoregressive moving average model with application to air pollution concentration data
di: Saulo, Helton
Pubblicazione: (2026)

Independent vector analysis -- an introduction for statisticians
di: Arvila, Miro, et al.
Pubblicazione: (2025)

Power Analysis for Experiments with Clustered Data, Ratio Metrics, and Regression for Covariate Adjustment
di: Hesterberg, Tim, et al.
Pubblicazione: (2024)

Functional worst risk minimization
di: Kennerberg, Philip, et al.
Pubblicazione: (2024)

Evaluating Randomness Assumption: A Novel Graph Theoretic Approach
di: Gehlot, Shriya, et al.
Pubblicazione: (2025)

Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference
di: Cortez-Rodriguez, Mayleen, et al.
Pubblicazione: (2024)

Choosing observation operators to mitigate model error in Bayesian inverse problems
di: Cvetković, Nada, et al.
Pubblicazione: (2023)

Emulating complex dynamical simulators with random Fourier features
di: Mohammadi, Hossein, et al.
Pubblicazione: (2021)

A two-way heterogeneity model for dynamic networks
di: Jiang, Binyan, et al.
Pubblicazione: (2023)

New Tests of Randomness for Circular Data
di: Gehlot, Shriya, et al.
Pubblicazione: (2025)

Remote Auditing: Design-based Tests of Randomization, Selection, and Missingness with Broadly Accessible Satellite Imagery
di: Jerzak, Connor T., et al.
Pubblicazione: (2025)

Information Criterion for the Gaussian and/or Laplace Distribution Models
di: Kitagawa, Genshiro
Pubblicazione: (2025)

Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
di: Westphal, Max
Pubblicazione: (2019)

Quadratic inference with dense functional responses
di: Niyogi, Pratim Guha, et al.
Pubblicazione: (2024)

A statistical framework for analyzing shape in a time series of random geometric objects
di: van Delft, Anne, et al.
Pubblicazione: (2023)

Optimal design of experiments with quantitative-sequence factors
di: Wang, Yaping, et al.
Pubblicazione: (2025)

A Note on NBUE and NWBUE Classes of Life Distributions
di: Anis, M. Z.
Pubblicazione: (2026)

Poisson Regression in one Covariate on Massive Data
di: Reuter, Torsten, et al.
Pubblicazione: (2024)

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

Longitudinal Network Models and Permutation-Uniform Markov Chains
di: Schwartz, William K., et al.
Pubblicazione: (2021)

Projection predictive variable selection for discrete response families with finite support
di: Weber, Frank, et al.
Pubblicazione: (2023)

Frequentist forecasting in regime-switching models with extended Hamilton filter
di: Okuyama, Kento, et al.
Pubblicazione: (2025)

Parameter Estimation in Nonlinear Multivariate Stochastic Differential Equations Based on Splitting Schemes
di: Pilipovic, Predrag, et al.
Pubblicazione: (2022)

Statistical inference for Levy-driven graph supOU processes: From short- to long-memory in high-dimensional time series
di: Mehta, Shreya, et al.
Pubblicazione: (2025)

Statistical inference for a multiscale stochastic model of enzyme kinetics via propagation of chaos
di: Ganguly, Arnab, et al.
Pubblicazione: (2024)

Adaptive Grid Designs for Classifying Monotonic Binary Deterministic Computer Simulations
di: Bai, Tian, et al.
Pubblicazione: (2025)

Rate accelerated inference for integrals of multivariate random functions
di: Patilea, Valentin, et al.
Pubblicazione: (2024)

High-dimensional variable clustering based on maxima of a weakly dependent random process
di: Boulin, Alexis, et al.
Pubblicazione: (2023)

Markov Combinations of Discrete Statistical Models
di: Marigliano, Orlando, et al.
Pubblicazione: (2025)

Surrogate-based Bayesian calibration methods for chaotic systems: a comparison of traditional and non-traditional approaches
di: Holthuijzen, Maike F., et al.
Pubblicazione: (2025)

Exploring Singularities in point clouds with the graph Laplacian: An explicit approach
di: Andersson, Martin, et al.
Pubblicazione: (2022)

Estimation of log-Gaussian gamma processes with iterated posterior linearization and Hamiltonian Monte Carlo
di: Härkönen, Teemu, et al.
Pubblicazione: (2026)

Functional limit laws for the intensity measure of point processes and applications
di: Francisci, Giacomo, et al.
Pubblicazione: (2024)

Comparative analysis and practical applications of cubic transmutations for the Pareto distribution
di: Katchekpele, Edoh, et al.
Pubblicazione: (2025)

Theoretical analysis and improvements in cubic transmutations of probability distributions
di: Geraldo, Issa Cherif, et al.
Pubblicazione: (2025)