activity
20202026
collaborators

8 papers

stat.ME2026

Bootstrap-Calibrated Spectral Divergence Tests for Online Detection of Covariance Matrix Changes

Mehmet Siddik Cadirci, Martin Singull

A covariance matrix rarely distorts in a single direction: a shift can expand all variances simultaneously, shift variance along one or two principal directions, displace spectral…

math.ST2026

Asymptotic Normality and Convergence Rates for Tsallis Entropy Estimators via Stabilization Techniques

Mehmet Sıddık Çadırcı, Martin Singull

We study nearest-neighbor-based estimators of Tsallis entropy associated with Poisson and binomial point processes on general metric measure spaces. Using stabilization techniques…

math.ST2026

A New Estimator of Kullback--Leibler Divergence via Shannon Entropy

Mehmet Siddik Cadirci, Martin Singull

We examine the estimation of the Kullback-Leibler (KL) divergence and the use of the goodness-of-fit test for multivariate continuous distributions. Our starting point is the maxim…

stat.ME2025

Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures

Mehmet Sıddık Çadırcı

In this paper, we investigate new procedures for statistical testing based on Tsallis entropy, a parametric generalization of Shannon entropy. Focusing on multivariate generalized…

stat.ME2025

Statistical tests based on Renyi entropy estimation

Mehmet Siddik Cadirci, Dafydd Evans, Nikolai Leonenko +2

Entropy and its various generalizations are important in many fields, including mathematical statistics, communication theory, physics and computer science, for characterizing the…

math.ST2021

Statistical tests based on Rényi entropy estimation

Mehmet Siddik Cadirci, Dafydd Evans, Nikolai Leonenko +1

Entropy and its various generalizations are important in many fields, including mathematical statistics, communication theory, physics and computer science, for characterizing the…