Image de couverture de livre

Inference for decorated graphs and application to multiplex networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dufour, Charles, Olhede, Sofia C.
Format:	Preprint
Publié:	2024
Sujets:	Methodology Discrete Mathematics 62G05 G.3
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Data-adaptive structural change-point detection via isolation
par: Anastasiou, Andreas, et autres
Publié: (2024)

Monitoring a developing pandemic with available data
par: Gámiz, María Luz, et autres
Publié: (2023)

Low quality exposure and point processes with a view to the first phase of a pandemic
par: Gámiz, María Luz, et autres
Publié: (2023)

Nonparametric Empirical Bayes Estimation on Heterogeneous Data
par: Banerjee, Trambak, et autres
Publié: (2020)

A first view on the density of 5-planar graphs
par: Büngener, Aaron, et autres
Publié: (2025)

On the maximum number of edges of outer k-planar graphs
par: Pfister, Maximilian
Publié: (2025)

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control
par: Cai, Zhanrui, et autres
Publié: (2023)

Statistical Inference for Scale Mixture Models via Mellin Transform Approach
par: Belomestny, Denis, et autres
Publié: (2022)

Over the Stability Space of a Multivariate Time Series
par: Vásquez-Martínez, Roberto, et autres
Publié: (2025)

A novel statistical approach for two-sample testing based on the overlap coefficient
par: Komaba, Atsushi, et autres
Publié: (2022)

Dependencies in Multiplex Networks: A Motif Count Approach
par: Sawaya, Karl, et autres
Publié: (2026)

Statistical Multicriteria Benchmarking via the GSD-Front
par: Jansen, Christoph, et autres
Publié: (2024)

Learning binary undirected graph in low dimensional regime
par: De Canditiis, Daniela
Publié: (2019)

Statistical Inference on the Cumulative Distribution Function using Judgment Post Stratification
par: Kouhanestani, Mina Azizi, et autres
Publié: (2024)

Identification of Latent Group Effects under Conditional Calibration
par: Kurbucz, Marcell T.
Publié: (2026)

Nonparametric Estimation via Expected Order Statistics
par: Lando, Tommaso, et autres
Publié: (2026)

Unifying small area estimators based on area-level and unit-level models through calibration
par: Acero, William, et autres
Publié: (2024)

KOO Method-based Consistent Clustering for Group-wise Linear Regression with Graph Structure
par: Ohishi, M., et autres
Publié: (2025)

Locally Optimal Design for A/B Testing in the Presence of Covariates and Network Connection
par: Zhang, Qiong, et autres
Publié: (2020)

Convolutional neural networks for valid and efficient causal inference
par: Ghasempour, Mohammad, et autres
Publié: (2023)

The Density Formula: One Lemma to Bound Them All
par: Kaufmann, Michael, et autres
Publié: (2023)

Quantile-respectful density estimation based on the Harrell-Davis quantile estimator
par: Akinshin, Andrey
Publié: (2024)

Robust Variable Selection in High-dimensional Nonparametric Additive Model
par: Chatla, Suneel Babu, et autres
Publié: (2025)

Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
par: Wang, Shuoyang, et autres
Publié: (2025)

Semi-functional partial linear regression with measurement error: An approach based on $k$NN estimation
par: Novo, Silvia, et autres
Publié: (2024)

Determining Factorial Speed Fast
par: Feng, Zhidan, et autres
Publié: (2026)

Measuring General Associations in Time Series: An Adaptation and Empirical Evaluation of the CODEC Coefficient in Determining Autoregressive Dynamics
par: Montaño, Juan Pablo, et autres
Publié: (2025)

TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-based Data
par: Gu, Zhiling, et autres
Publié: (2024)

Correction of estimator bias in linear regression with categorical covariates with classification error
par: Dias, Alexandre Garcia, et autres
Publié: (2025)

generalRSS: Sampling and Inference for Balanced and Unbalanced Ranked Set Sampling in R
par: Moon, Chul, et autres
Publié: (2025)

On Efficient Inference of Causal Effects with Multiple Mediators
par: Wei, Haoyu, et autres
Publié: (2024)

Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff--Gaussian Processes
par: Godoy, Lucas da Cunha, et autres
Publié: (2022)

Estimation of Quantile Functionals in Linear Model
par: Jurečková, Jana, et autres
Publié: (2024)

Inference with Mondrian Random Forests
par: Cattaneo, Matias D., et autres
Publié: (2023)

A Systematic Approach to Crossing Numbers of Cartesian Products with Paths
par: Asiri, Zayed, et autres
Publié: (2024)

Throwing Vines at the Wall: Structure Learning via Random Search
par: Vatter, Thibault, et autres
Publié: (2025)

Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
par: Du, Shiyin, et autres
Publié: (2026)

Non-parametric estimation of transition intensities in interval censored Markov multi-state models without loops
par: Gomon, Daniel, et autres
Publié: (2024)

Leave-One-Out Neighborhood Smoothing for Graphons: Berry-Esseen Bounds, Confidence Intervals, and Honest Tuning
par: Aalipur, Behzad, et autres
Publié: (2026)

Kernel-based estimators for functional causal effects
par: Raykov, Yordan P., et autres
Publié: (2025)