Imagen de Portada

How to quantify direct correlations between variables

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Shengjun, Wu, Jeffery
Formato:	Preprint
Publicado:	2026
Materias:	Methodology Physics and Society
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Two-step estimators of high dimensional correlation matrices
por: García-Medina, Andrés, et al.
Publicado: (2022)

Feature-free regression kriging
por: Luo, Peng, et al.
Publicado: (2025)

Scale-Free Priors and Survival Dynamics: A Bayesian Framework for Conflict Duration
por: Stepinski, Tomasz F.
Publicado: (2026)

Ratio of Quantiles Indicates Burstiness with Fewer False Negatives than the Conventional Burstiness Parameter
por: Stadlan, Joshua Z., et al.
Publicado: (2026)

Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections
por: Ward, Caitlin, et al.
Publicado: (2025)

Measuring multidimensional heterogeneity in emergent social phenomena
por: Toscani, Giuseppe
Publicado: (2023)

A Triad of Networks and a Triad of Fusions for the Other Climate Crisis
por: Porcu, Emilio, et al.
Publicado: (2025)

Latent event history models for quasi-reaction systems
por: Framba, Matteo, et al.
Publicado: (2023)

Understanding How Network Geometry Influences Diffusion Processes in Complex Networks: A Focus on Cryptocurrency Blockchains and Critical Infrastructure Networks
por: Mustaquim, S M, et al.
Publicado: (2025)

Beyond Group Means and Into the World of Individuals: A Distributional Spotlight for Experimental Effects on Individuals
por: Rahman, Roussel
Publicado: (2025)

A switching state-space transmission model for tracking epidemics and assessing interventions
por: Feng, Jingxue, et al.
Publicado: (2023)

A method for characterizing disease emergence curves from paired pathogen detection and serology data
por: Hewitt, Joshua, et al.
Publicado: (2024)

Exploring Covid-19 Spatiotemporal Dynamics: Non-Euclidean Spatially Aware Functional Registration
por: Barratt, Luke A., et al.
Publicado: (2024)

Decomposing Network Influence: Social Influence Regression
por: Minhas, Shahryar, et al.
Publicado: (2017)

Simulating Keystroke and Computing the Theoretical Probability of Infinite Monkey Theorem with Markov Process
por: Yi, Juncheng, et al.
Publicado: (2025)

The Colombian legislative process, 2014-2025: networks, topics, and polarization
por: Sosa, Juan, et al.
Publicado: (2025)

Bayesian Evidence Synthesis for Modeling SARS-CoV-2 Transmission
por: Apsemidis, Anastasios, et al.
Publicado: (2023)

How big does a population need to be before demographers can ignore individual-level randomness in demographic events?
por: Bryant, John, et al.
Publicado: (2024)

Bias and Identifiability in the Bounded Confidence Model
por: Borile, Claudio, et al.
Publicado: (2025)

Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models
por: Kolic, Blas, et al.
Publicado: (2025)

Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides
por: Robiglio, Thomas, et al.
Publicado: (2025)

Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection
por: Shi, Haoming, et al.
Publicado: (2025)

The Divergence Index: A Decomposable Measure of Segregation and Inequality
por: Roberto, Elizabeth
Publicado: (2015)

Improving the use of social contact studies in epidemic modelling
por: Britton, Tom, et al.
Publicado: (2024)

Estimating the household secondary attack rate with the Incomplete Chain Binomial model
por: Lindstrøm, Jonas Christoffer, et al.
Publicado: (2024)

Cumulative differences between paired samples
por: Kloumann, Isabel, et al.
Publicado: (2023)

Community-Size Biases in Statistical Inference of Communities in Temporal Networks
por: Faust, Theodore Y., et al.
Publicado: (2026)

The Morphemic Origin of Zipf's Law: A Factorized Combinatorial Framework
por: Berman, Vladimir
Publicado: (2025)

What can we learn from marketing skills as a bipartite network from accredited programs?
por: Garcia-Chitiva, Maria del Pilar, et al.
Publicado: (2024)

Community detection in bipartite signed networks is highly dependent on parameter choice
por: Candellone, Elena, et al.
Publicado: (2024)

Scalable community detection in massive networks via predictive assignment
por: Bhadra, Subhankar, et al.
Publicado: (2025)

Network Layout Algorithm with Covariate Smoothing
por: Smiley, Octavious, et al.
Publicado: (2024)

Supervised centrality via sparse network influence regression: an application to the 2021 Henan floods' social network
por: Ma, Yingying, et al.
Publicado: (2024)

Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations
por: McFowland III, Edward, et al.
Publicado: (2016)

Correlation Improves Group Testing: Modeling Concentration-Dependent Test Errors
por: Wan, Jiayue, et al.
Publicado: (2021)

K-núcleo: Una herramienta para detectar la estructura conceptual de los campos de investigación. El caso práctico de la Altmetría
por: Gálvez, Carmen
Publicado: (2025)

Determining the Number of Communities in Sparse and Imbalanced Settings
por: Shao, Zhixuan, et al.
Publicado: (2024)

Hyperlink communities in higher-order networks
por: Lotito, Quintino Francesco, et al.
Publicado: (2023)

Party Ideologies and Political Polarization-Driven Conflicts: A Study of the Global South
por: Padarha, Shreyansh
Publicado: (2025)

The impact of the COVID-19 pandemic on daily rhythms
por: Luong, Nguyen, et al.
Publicado: (2023)