Cover Image

Learn your entropy from informative data: an axiom ensuring the consistent identification of generalized entropies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Somazzi, Andrea, Garlaschelli, Diego
Format:	Preprint
Published:	2023
Subjects:	Data Analysis, Statistics and Probability Statistics Theory Methodology 62F07, 82B99 J.2; E.4; H.1.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Stock Returns and Volatility Using Bivariate Gamma Generalized Laplace Law
by: Kozubowski, Tomasz J., et al.
Published: (2026)

Causal inference under interference: computational barriers and algorithmic solutions
by: Bhattacharya, Sohom, et al.
Published: (2025)

Kernel density estimation with polyspherical data and its applications
by: García-Portugués, Eduardo, et al.
Published: (2024)

On nonlinear compression costs: when Shannon meets Rényi
by: Somazzi, Andrea, et al.
Published: (2023)

Causal effect estimation under network interference with mean-field methods
by: Bhattacharya, Sohom, et al.
Published: (2024)

Regularisation of CART trees by summation of $p$-values
by: Engler, Nils, et al.
Published: (2025)

Constructive and consistent estimation of quadratic minimax
by: Kennerberg, Philip, et al.
Published: (2024)

A method for sparse and robust independent component analysis
by: Heinonen, Lauri, et al.
Published: (2025)

Least squares estimation of the transition density in bifurcating Markov models
by: Penda, S. Valère Bitseki
Published: (2025)

Model selection by cross-validation in an expectile linear regression
by: Bousselmi, Bilel, et al.
Published: (2026)

Blessing of dimensionality in cross-validated bandwidth selection on the sphere
by: Chacón, José E., et al.
Published: (2026)

Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection
by: Biswas, Aniket, et al.
Published: (2026)

Robust Penalized Estimators for High--Dimensional Generalized Linear Models
by: Valdora, Marina, et al.
Published: (2023)

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

A new class of colored Gaussian graphical models with explicit normalizing constants
by: Chojecki, Adam, et al.
Published: (2026)

On parameter estimation for $N(μ,σ^2 I_3)$ based on projected data into $\mathbb{S}^2$
by: Figueras, Jordi-Lluís, et al.
Published: (2024)

Bridging Prediction and Attribution: Identifying Forward and Backward Causal Influence Ranges Using Assimilative Causal Inference
by: Andreou, Marios, et al.
Published: (2025)

Assimilative Causal Inference
by: Andreou, Marios, et al.
Published: (2025)

Deficiency bounds for the multivariate inverse hypergeometric distribution
by: Ouimet, Frédéric
Published: (2023)

Regularization and Selection in A Directed Network Model with Nodal Homophily and Nodal Effects
by: Xing, Zhaoyu, et al.
Published: (2025)

Impossibility results for equating the Youden Index with average scoring rules and Tjur $R^2$-like metrics
by: Hoessly, Linard
Published: (2024)

Asymptotics for non-degenerate multivariate $U$-statistics with estimated nuisance parameters under the null and local alternative hypotheses
by: Desgagné, Alain, et al.
Published: (2024)

Testing maximum entropy models with e-values
by: Giuffrida, Francesca, et al.
Published: (2025)

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

Wishart kernel density estimation for strongly mixing time series on the cone of positive definite matrices
by: Belzile, Léo R., et al.
Published: (2025)

New financial ratios based on the compositional data methodology
by: Linares-Mustarós, Salvador, et al.
Published: (2022)

Assessing quality of selection procedures: Lower bound of false positive rate as a function of inter-rater reliability
by: Bartoš, František, et al.
Published: (2022)

Estimation of the generalized Laplace distribution and its projection onto the circle
by: Geraci, Marco
Published: (2025)

Collapsing Categories for Regression with Mixed Predictors
by: Song, Chaegeun, et al.
Published: (2025)

Selective and marginal selective inference for exceptional groups
by: Hoff, Peter, et al.
Published: (2025)

Finite-Sample Valid Rank Confidence Sets for a Broad Class of Statistical and Machine Learning Models
by: Chandra, Onrina, et al.
Published: (2025)

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

Universal parameterized family of distributions of runs
by: Takahashi, Hayato
Published: (2023)

The Generalized Elastic Net for least squares regression with network-aligned signal and correlated design
by: Tran, Huy, et al.
Published: (2022)

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

Low-Rank and Sparse Drift Estimation for High-Dimensional Lévy-Driven Ornstein--Uhlenbeck Processes
by: Palaisti, Marina
Published: (2026)

On the epsilon-delta Structure Underlying Chatterjee's Rank Correlation
by: Sato, Zeusu
Published: (2025)

Inference in high-dimensional logistic regression under tensor network dependence
by: Miles, Josh, et al.
Published: (2026)

Graphical models for infinite measures with applications to extremes
by: Engelke, Sebastian, et al.
Published: (2022)

Vertex misalignment and changepoint localization in network time series
by: Chen, Tianyi, et al.
Published: (2026)