تقرير
Joint parameter estimations for spin glasses
| العنوان: | Joint parameter estimations for spin glasses |
|---|---|
| المؤلفون: | Chen, Wei-Kuo, Sen, Arnab, Wu, Qiang |
| سنة النشر: | 2024 |
| المجموعة: | Mathematics Condensed Matter Mathematical Physics Statistics |
| مصطلحات موضوعية: | Mathematics - Probability, Condensed Matter - Disordered Systems and Neural Networks, Mathematical Physics, Mathematics - Statistics Theory, 62F12, 62F10, 82B44 |
| الوصف: | Spin glass models with quadratic-type Hamiltonians are disordered statistical physics systems with competing ferromagnetic and anti-ferromagnetic spin interactions. The corresponding Gibbs measures belong to the exponential family parametrized by (inverse) temperature $\beta>0$ and external field $h\in\mathbb{R}$. Given a sample from these Gibbs measures, a statistically fundamental question is to infer the temperature and external field parameters. In 2007, Chatterjee (Ann. Statist. 35 (2007), no.5, 1931-1946) first proved that in the absence of external field $h=0$, the maximum pseudolikelihood estimator for $\beta$ is $\sqrt{N}$-consistent under some mild assumptions on the disorder matrices. It was left open whether the same method can be used to estimate the temperature and external field simultaneously. In this paper, under some easily verifiable conditions, we prove that the bivariate maximum pseudolikelihood estimator is indeed jointly $\sqrt{N}$-consistent for the temperature and external field parameters. The examples cover the classical Sherrington-Kirkpatrick model and its diluted variants. Comment: 29 pages, 1 figure |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/2406.10760Test |
| رقم الانضمام: | edsarx.2406.10760 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |