collaborators

6 papers

math.ST2026

Multivariate majorization of continuous statistical experiments

Erkka Haapasalo

We derive sufficient and almost necessary conditions for large sample and catalytic majorization between finite statistical experiments over standard Borel sample spaces. This work…

quant-ph2026

Conditions for Large-Sample Majorization of Pairs of Flat States in Terms of -z Relative Entropies

Frits Verhagen, Marco Tomamichel, Erkka Haapasalo

We offer the first operational interpretation of the -z relative entropies, a measure of distinguishability between two quantum states introduced by JakÅ¡ić et al. and Audenae…

cs.IT2026

A complete characterisation of conditional entropies

Roberto Rubboli, Erkka Haapasalo, Marco Tomamichel

Entropies are fundamental measures of uncertainty with central importance in information theory and statistics and applications across all the quantitative sciences. Under a natura…

quant-ph2026

Multivariate Rényi divergences characterise betting games with multiple lotteries

Andrés F. Ducuara, Erkka Haapasalo, Ryo Takakura

We provide an operational interpretation of the multivariate Rényi divergence in terms of economic-theoretic tasks based on betting, risk aversion, and multiple lotteries. We show…

quant-ph2025

Barycentric decompositions for extensive monotone divergences

Erkka Haapasalo

We study sets of divergences or dissimilarity measures in a generalized real-algebraic setting which includes the cases of classical and quantum multivariate divergences. We show t…

math.ST2025

Matrix Majorization in Large Samples with Varying Support Restrictions

Frits Verhagen, Marco Tomamichel, Erkka Haapasalo

We say that a matrix with non-negative entries majorizes another such matrix if there is a stochastic matrix such that . We study matrix majorization in large sam…