Stat Arxiv of Today - 6 Sep

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wrapped gaussian process functional regression model for batch data on riemannian manifolds Jinzhao Liu, Chao Liu, Jian Qing Shi, Tom Nye
[stat.ME]
when audits and recounts distract from election integrity: the 2020 u.s. presidential election in georgia Philip B. Stark
[stat.AP]
the r package psvmsdr: a unified algorithm for sufficient dimension reduction via principal machines Jungmin Shin, Seung Jun Shin, Andreas Artemiou
[stat.CO,stat.ML]
testing whether reported treatment effects are unduly dependent on the specific outcome measure used Peter Halpin, Joshua Gilbert
[stat.ME]
penalized subgrouping of heterogeneous time series Christopher M. Crawford, Jonathan J. Park, Sy-Miin Chow, Anja F. Ernst, Vladas Pipiras, Zachary F. Fisher
[stat.ME]
on the edge eigenvalues of the precision matrices of nonstationary autoregressive processes Junho Yang
[stat.ME,stat.TH]
on inference of weitzman overlapping coefficient in two weibull distributions Omar Eidous, Hala Maqableh
[stat.ME]
multifidelity covariance estimation via regression on the manifold of symmetric positive definite matrices Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef Marzouk
[stat.CO]
meal-taking activity monitoring in the elderly based on sensor data: comparison of unsupervised classification methods Abderrahim Derouiche , Damien Brulin , Eric Campo , Antoine Piau
[stat.AP]
maximum likelihood inference for high-dimensional problems with multiaffine variable relations Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari-Trecate
[stat.ML,stat.CO]
likelihood estimation for stochastic differential equations with mixed effects Fernando Baltazar-Larios, Mogens Bladt, Michael S{\o}rensen
[stat.ME]
laspated: a library for the analysis of spatio-temporal discrete data Vincent Guigues, Anton Kleywegt, Giovanni Amorim, André Mazal Krauss, Victor Hugo Nascimento
[stat.ME,stat.CO,stat.TH]
extrinsic principal component analysis Ka Chun Wong, Vic Patrangenaru, Robert L. Paige, Mihaela Pricop Jeckstadt
[stat.ME]
ecosystem knowledge should replace coexistence and stability assumptions in ecological network modelling Sarah A. Vollert, Christopher Drovandi, Matthew P. Adams
[stat.AP]
directional data analysis using the spherical cauchy and the poisson-kernel based distribution Michail Tsagris
[stat.ME]
detecting spatial dependence in transcriptomics data using vectorised persistence diagrams Katharina Limbeck, Bastian Rieck
[stat.ME]
co-developing causal graphs with domain experts guided by weighted fdr-adjusted p-values Eli Y. Kling
[stat.ME]
categorical data analysis Dandan Chen, Carolyn Anderson
[stat.ME]
boosting the power of kernel two-sample tests Anirban Chatterjee, Bhaswar B. Bhattacharya
[stat.ME,stat.ML,stat.TH]
bias correction of posterior means using mcmc outputs Yukito Iba
[stat.ME]
an efficient two-dimensional functional mixed-effect model framework for repeatedly measured functional data Cheng Cao, Jiguo Cao, Hao Pan, Yunting Zhang, Fan Jiang, Xinyue Li
[stat.ME,stat.AP]
algorithm-agnostic significance testing in supervised learning with multimodal data Lucas Kook, Anton Rask Lundborg
[stat.AP]
a causal viewpoint on prediction model performance under changes in case-mix: discrimination and calibration respond differently for prognosis and diagnosis predictions Wouter A. C. van Amsterdam
[stat.ME]
a new forward discriminant analysis framework based on pillai's trace and ulda Siyu Wang
[stat.ME,stat.CO,stat.ML]
a bayesian optimization through sequential monte carlo and statistical physics-inspired techniques Anton Lebedev, Thomas Warford, M. Emre Şahin
[stat.CO]