Zobrazeno 1 - 10
of 285
pro vyhledávání: '"62H17"'
Autor:
Hoessly, Linard
In 2017, Hughes claimed an equivalence between Tjurs $R^2$ coefficient of discrimination and the Youden index for assessing diagnostic test performance on $2\times 2$ contingency tables. We prove an impossibility result when averaging over binary out
Externí odkaz:
http://arxiv.org/abs/2411.05391
A measure of asymmetry is a quantification method that allows for the comparison of categorical evaluations before and after treatment effects or among different target populations, irrespective of sample size. We focus on square contingency tables t
Externí odkaz:
http://arxiv.org/abs/2410.15874
Autor:
Clarke, Oliver, Kosta, Dimitra
The distance reducing property for Markov bases is an important property that provides a bound on the mixing time of the associated Markov chain. The goal of this project is to understand properties of distance-reducing Markov bases. We explore the d
Externí odkaz:
http://arxiv.org/abs/2406.17730
We study the problem of transforming a multi-way contingency table into an equivalent table with uniform margins and same dependence structure. Such a problem relates to recent developments in copula modeling for discrete random vectors. Here, we foc
Externí odkaz:
http://arxiv.org/abs/2404.04343
Autor:
Friedland, Shmuel
We study a tensor optimal transport (TOT) problem for $d\ge 2$ discrete measures. This is a linear programming problem on $d$-tensors. We introduces an interior point method (ipm) for $d$-TOT with a corresponding barrier function. Using a "short-step
Externí odkaz:
http://arxiv.org/abs/2310.02510
Autor:
Kojadinovic, Ivan, Martini, Tommaso
After reviewing a large body of literature on the modeling of bivariate discrete distributions with finite support, \cite{Gee20} made a compelling case for the use of $I$-projections in the sense of \cite{Csi75} as a sound way to attempt to decompose
Externí odkaz:
http://arxiv.org/abs/2307.04225
In this paper, we evaluate the challenges and best practices associated with the Markov bases approach to sampling from conditional distributions. We provide insights and clarifications after 25 years of the publication of the fundamental theorem for
Externí odkaz:
http://arxiv.org/abs/2306.06270
Autor:
Tahata, Kouji, Matsuda, Kohei
Previously, the diagonals-parameter symmetry model based on $f$-divergence (denoted by DPS[$f$]) was reported to be equivalent to the diagonals-parameter symmetry model regardless of the function $f$, but the proof was omitted. Here, we derive the DP
Externí odkaz:
http://arxiv.org/abs/2305.08136
The McNemar test evaluates the hypothesis that two correlated proportion is common in $2 \times 2$ contingency tables with the same categories. This study discusses a test for symmetry in $2 \times 2$ contingency tables with nonignorable nonresponses
Externí odkaz:
http://arxiv.org/abs/2304.13591
Autor:
Araujo-Voces, Miguel, Quesada, Víctor
Exact tests greatly improve the analysis of contingency tables when marginals are low. For instance, researchers often use Fisher's exact test, which is conditional, or Barnard's test, which is unconditional but needs to deal with a nuisance paramete
Externí odkaz:
http://arxiv.org/abs/2110.14315