Cover Image

Bias and Identifiability in the Bounded Confidence Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Borile, Claudio, Lenti, Jacopo, Ghidini, Valentina, Monti, Corrado, Morales, Gianmarco De Francisci
Format:	Preprint
Published:	2025
Subjects:	Methodology Computers and Society Machine Learning Physics and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Variational Inference of Parameters in Opinion Dynamics Models
by: Lenti, Jacopo, et al.
Published: (2024)

Causal Modeling of Climate Activism on Reddit
by: Lenti, Jacopo, et al.
Published: (2024)

Uncovering the Sociodemographic Fabric of Reddit
by: Cinus, Federico, et al.
Published: (2025)

Conditional Publics: Shared Events and Divergent Meanings in the European Twitter Debate on the Ukraine War
by: Monti, Corrado, et al.
Published: (2026)

Narratives of War: Ukrainian Memetic Warfare on Twitter
by: Mejova, Yelena, et al.
Published: (2023)

Population synthesis with geographic coordinates
by: Lenti, Jacopo, et al.
Published: (2025)

De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
by: Srivastava, Sanjari, et al.
Published: (2024)

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

Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social Affinity
by: Colacrai, Ernesto, et al.
Published: (2024)

Measuring Online Behavior Change with Observational Studies: a Review
by: Pera, Arianna, et al.
Published: (2023)

Feature-free regression kriging
by: Luo, Peng, et al.
Published: (2025)

Statistical Guarantees in the Search for Less Discriminatory Algorithms
by: Hays, Chris, et al.
Published: (2025)

Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
by: Wang, Jitao, et al.
Published: (2025)

A Computational Approach to Improving Fairness in K-means Clustering
by: Zhou, Guancheng, et al.
Published: (2025)

A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs
by: Kaazempur-Mofrad, Ali, et al.
Published: (2024)

Statistical learning for constrained functional parameters in infinite-dimensional models
by: Nabi, Razieh, et al.
Published: (2024)

The Missing Link: Allocation Performance in Causal Machine Learning
by: Fischer-Abaigar, Unai, et al.
Published: (2024)

From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations
by: Shan, Shan
Published: (2024)

Falsifying Predictive Algorithm
by: Coston, Amanda
Published: (2026)

Practical Guide for Causal Pathways and Sub-group Disparity Analysis
by: Kohankhaki, Farnaz, et al.
Published: (2024)

Predictive Performance Comparison of Decision Policies Under Confounding
by: Guerdan, Luke, et al.
Published: (2024)

Auditing Fairness under Unobserved Confounding
by: Byun, Yewon, et al.
Published: (2024)

Understanding overfitting in random forest for probability estimation: a visualization and simulation study
by: Barreñada, Lasai, et al.
Published: (2024)

A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
by: Siddiqui, Md. Saiful Bari, et al.
Published: (2025)

Do Androids Dream of Unseen Puppeteers? Probing for a Conspiracy Mindset in Large Language Models
by: Corso, Francesco, et al.
Published: (2025)

Moral Judgments in Online Discourse are not Biased by Gender
by: Betti, Lorenzo, et al.
Published: (2024)

Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
by: Nakamoto, Carter H., et al.
Published: (2025)

Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising
by: Schechtman, Kara, et al.
Published: (2025)

Batch-Adaptive Causal Annotations
by: Nwankwo, Ezinne, et al.
Published: (2025)

Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population
by: Parikh, Harsh, et al.
Published: (2024)

Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
by: Rambachan, Ashesh, et al.
Published: (2022)

Performance of models for monitoring sustainable development goals from remote sensing: A three-level meta-regression
by: Klingwort, Jonas, et al.
Published: (2026)

Identifying Dealbreakers and Robust Policies for the Energy Transition Amid Unexpected Events
by: Coppitters, Diederik, et al.
Published: (2025)

Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
by: Noorani, Erfaun, et al.
Published: (2025)

An impossibility result for Markov Chain Monte Carlo sampling from micro-canonical bipartite graph ensembles
by: Preti, Giulia, et al.
Published: (2023)

Effects of Algorithmic Visibility on Conspiracy Communities: Reddit after Epstein's 'Suicide'
by: Attanasio, Asja, et al.
Published: (2025)

Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
by: Bhadane, Sourbh, et al.
Published: (2025)

Partial Identification Approach to Counterfactual Fairness Assessment
by: Rho, Saeyoung, et al.
Published: (2025)

Decoding Digital Influence: The Role of Social Media Behavior in Scientific Stratification Through Logistic Attribution Method
by: Yue, Yang
Published: (2024)