Tootfinder

Modified Lepage-type test statistics for the weak null hypothesis
Abid Hussain, Michail Tsagris
https://arxiv.org/abs/2509.19126 https://arxiv.org/pdf/2509…

Asymptotic distributions of four linear hypotheses test statistics under generalized spiked model
Zhijun Liu, Jiang Hu, Zhidong Bai, Zhihui Lv
https://arxiv.org/abs/2510.04185 h…

Asymptotic distributions of four linear hypotheses test statistics under generalized spiked model
In this paper, we establish the Central Limit Theorem (CLT) for linear spectral statistics (LSSs) of large-dimensional generalized spiked sample covariance matrices, where the spiked eigenvalues may be either bounded or diverge to infinity. Building upon this theorem, we derive the asymptotic distributions of linear hypothesis test statistics under the generalized spiked model, including Wilks' likelihood ratio test statistic U, the Lawley-Hotelling trace test statistic W, and the Bartlett-Nand…

EMO-TTA: Improving Test-Time Adaptation of Audio-Language Models for Speech Emotion Recognition
Jiacheng Shi, Hongfei Du, Y. Alicia Hong, Ye Gao
https://arxiv.org/abs/2509.25495

EMO-TTA: Improving Test-Time Adaptation of Audio-Language Models for Speech Emotion Recognition
Speech emotion recognition (SER) with audio-language models (ALMs) remains vulnerable to distribution shifts at test time, leading to performance degradation in out-of-domain scenarios. Test-time adaptation (TTA) provides a promising solution but often relies on gradient-based updates or prompt tuning, limiting flexibility and practicality. We propose Emo-TTA, a lightweight, training-free adaptation framework that incrementally updates class-conditional statistics via an Expectation-Maximizatio…

The $n^{th}$ centered moments of a large orthogonal family of automorphic $L$-functions
Vorrapan Chandee, Yoonbok Lee, Xiannan Li
https://arxiv.org/abs/2510.07647 https://

The $n^{th}$ centered moments of a large orthogonal family of automorphic $L$-functions
We obtain the $n$th centered moments of one level densities of a large orthogonal family of $L$-functions associated with holomorphic Hecke newforms of level $q$, averaged over $q\sim Q$. We verify the Katz-Sarnak conjecture for these statistics, in the range where the sum of the supports of the Fourier transforms of test functions lies in $(-4, 4)$. In so doing, we need to understand certain phantom oversized terms, which allow us to extract the right off-diagonal contributions. We further nee…

Detection of supernova magnitude fluctuations induced by large-scale structure
A. Nguyen, C. Blake, R. J. Turner, V. Aronica, J. Bautista, J. Aguilar, S. Ahlen, S. BenZvi, D. Bianchi, D. Brooks, A. Carr, T. Claybaugh, A. Cuceu, A. de la Macorra, B. Dey, P. Doel, K. Douglass, S. Ferraro, J. E. Forero-Romero, E. Gazta\~naga, S. Gontcho A Gontcho, G. Gutierrez, J. Guy, K. Honscheid, C. Howlett, D. Huterer, M. Ishak, R. Joyce, R. Kehoe, A. G. Kim, A. Kremin, O. Lahav, M. Landriau, L. Le Gu…

Detection of supernova magnitude fluctuations induced by large-scale structure
The peculiar velocities of supernovae and their host galaxies are correlated with the large-scale structure of the Universe, and can be used to constrain the growth rate of structure and test the cosmological model. In this work, we measure the correlation statistics of the large-scale structure traced by the Dark Energy Spectroscopic Instrument Bright Galaxy Survey Data Release 1 sample, and magnitude fluctuations of type Ia supernova from the Pantheon+ compilation across redshifts z < 0.1. We…

Efficient Domain Generalization in Wireless Networks with Scarce Multi-Modal Data
Minsu Kim, Walid Saad, Dour Calin
https://arxiv.org/abs/2510.04359 https://

Efficient Domain Generalization in Wireless Networks with Scarce Multi-Modal Data
In 6G wireless networks, multi-modal ML models can be leveraged to enable situation-aware network decisions in dynamic environments. However, trained ML models often fail to generalize under domain shifts when training and test data distributions are different because they often focus on modality-specific spurious features. In practical wireless systems, domain shifts occur frequently due to dynamic channel statistics, moving obstacles, or hardware configuration. Thus, there is a need for learn…

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- A Necessary and Sufficient Condition for Size Controllability of Heteroskedasticity Robust Test S...
Benedikt M. P\"otscher, David Preinerstorfer

When risk defies order: On the limits of fractional stochastic dominance
Christian Laudag\'e, Felix-Benedikt Liebrich
https://arxiv.org/abs/2509.24747 https://

When risk defies order: On the limits of fractional stochastic dominance
Motivated by recent work on monotone additive statistics and questions regarding optimal risk sharing for return-based risk measures, we investigate the existence, structure, and applications of Meyer risk measures. Those are monetary risk measures consistent with fractional stochastic orders suggested by Meyer (1977a,b) as refinement of second-order stochastic dominance (SSD). These so-called $v$-SD orders are based on a threshold utility function $v$. The test utilities defining the associate…

A Weighted Regression Approach to Break-Point Detection in Panel Data
Charl Pretorius, Heinrich Roodt
https://arxiv.org/abs/2510.00598 https://arxiv.org/pd…

A Weighted Regression Approach to Break-Point Detection in Panel Data
New procedures for detecting a change in the cross-sectional mean of panel data are proposed. The procedures rely on estimating nuisance parameters using certain cross-sectional means across panels using a weighted least squares regression. In the case of weak cross-sectional dependence between panels, we show how test statistics can be constructed to have a limit null distribution not depending on any choice of bandwidths typically needed to estimate the long-run variances of the panel errors.…

Testing the equality of estimable parameters across many populations
Marcos Romero-Madro\~nal, Mar\'ia de los Remedios Sillero-Denamiel, Mar\'ia Dolores Jim\'enez-Gamero
https://arxiv.org/abs/2510.06763

Testing the equality of estimable parameters across many populations
The comparison of a parameter in $k$ populations is a classical problem in statistics. Testing for the equality of means or variances are typical examples. Most procedures designed to deal with this problem assume that $k$ is fixed and that samples with increasing sample sizes are available from each population. This paper introduces and studies a test for the comparison of an estimable parameter across $k$ populations, when $k$ is large and the sample sizes from each population are small when …