Stat Arxiv of Today - 3 Sep

hdmtd: an r package for high-dimensional mixture transition distribution models Maiara Gripp, Giulio Iacobelli, Guilherme Ost, Daniel Y. Takahashi
[stat.ME,stat.CO]
generalrss: sampling and inference for balanced and unbalanced ranked set sampling in r Chul Moon, Soohyun Ahn
[stat.ME,stat.CO]
wrong model, right uncertainty: spatial associations for discrete data with misspecification David R. Burt, Renato Berlinghieri, Tamara Broderick
[stat.ME,stat.ML]
wesper: computing non-linear shrinkage formulas for the weighted sample covariance Benoit Oriol
[stat.CO,stat.ML,stat.TH]
universal inference for variance components Yiqiao Zhang, Karl Oskar Ekvall, Aaron J. Molstad
[stat.ME]
uncertainty quantification for ranking with heterogeneous preferences Jianqing Fan, Hyukjun Kwon, Xiaonan Zhu
[stat.ME,stat.TH]
two-sided nearest neighbors: an adaptive and minimax optimal procedure for matrix completion Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi
[stat.ML,stat.ME,stat.TH]
testing maximum entropy models with e-values Francesca Giuffrida, Diego Garlaschelli, Peter Grünwald
[stat.ME,cond-mat.stat-mech]
suicide mortality in spain (2010-2022): temporal trends, spatial patterns, and risk factors A. Adin, G. Retegui, A. Sánchez Villegas, M. D. Ugarte
[stat.AP,stat.ME]
statistics-friendly confidentiality protection for establishment data, with applications to the qcew Kaitlyn Webb, Prottay Protivash, John Durrell, Daniell Toth, Aleksandra Slavković, Daniel Kifer
[stat.AP]
statistical performance guarantee for subgroup identification with generic machine learning Michael Lingzhi Li, Kosuke Imai
[stat.ME,stat.AP,stat.ML]
statistical inference for subgraph frequencies of exchangeable hyperedge models Ayoushman Bhattacharya, Nilanjan Chakraborty, Robert Lunde
[stat.ME,stat.TH]
speech transformer models for extracting information from baby cries Guillem Bonafos, Jéremy Rouch, Lény Lego, David Reby, Hugues Patural, Nicolas Mathevon, Rémy Emonet
[stat.AP]
spectral estimation for spatial point processes and random fields Jake P. Grainger, Tuomas A. Rajala, David J. Murrell, Sofia C. Olhede
[stat.ME]
specifying composites in structural equation modeling: traditional, recent and new approaches Jörg Henseler, Xi Yu, Tamara Schamberger, Gregory R. Hancock, Florian Schuberth
[stat.ME]
semi-supervised linear regression: enhancing efficiency and robustness in high dimensions Kai Chen, Yuqian Zhang
[stat.ME]
semiparametric model averaging for high-dimensional quantile regression with nonignorable nonresponse Wei Xiong, Dianliang Deng, Dehui Wang
[stat.ME]
sampling as bandits: evaluation-efficient design for black-box densities Takuo Matsubara, Andrew Duncan, Simon Cotter, Konstantinos Zygalakis
[stat.ME,stat.CO,stat.ML]
sanvi: a fast spectral-assisted network variational inference method with an extended surrogate likelihood function Dingbo Wu, Fangzheng Xie
[stat.CO,stat.ME,stat.TH]
robust integration of external control data in randomized trials Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, Issa J. Dahabreh
[stat.ME]
resampling-based multi-resolution false discovery exceedance control Jesse Hemerik
[stat.ME,stat.TH]
removal of redundant candidate points for the exact d-optimal design problem Radoslav Harman, Samuel Rosa
[stat.CO]
regime-switching langevin monte carlo algorithms Xiaoyu Wang, Yingli Wang, Lingjiong Zhu
[stat.CO,stat.ML]
reframing three-dimensional morphometrics through functional data innovations Aneesha Balachandran Pillay, Issa-Mbenard Dabo, Sophie Dabo-Niang, Dharini Pathmanathan
[stat.AP]
random sampling of contingency tables and partitions: two practical examples of the burnside process Persi Diaconis, Michael Howes
[stat.CO]
quantifying structural uncertainty in chemical reaction network inference Yong See Foo, Adriana Zanca, Jennifer A. Flegg, Ivo Siekmann
[stat.ME]
probit monotone bart Jared D. Fisher
[stat.ML,stat.CO,stat.ME]
procause: generating counterfactual outcomes to evaluate prescriptive process monitoring methods Jakob De Moor, Hans Weytjens, Johannes De Smedt
[stat.ME]
principal component analysis and biplots. a back-to-basics comparison of implementations Ettore Settanni
[stat.ME]
preconditioned regularized wasserstein proximal sampling Hong Ye Tan, Stanley Osher, Wuchen Li
[stat.ML,stat.CO]
pilot study on generative ai and critical thinking in higher education classrooms W. F. Lamberti, S. R. Lawrence, D. White, S. Kim, S. Abdullah
[stat.AP]
per-sender neural network classifiers for email authorship validation Rohit Dube
[stat.AP]
path analysis of covid-19 with the influence of air pressure, air temperature, and relative humidity Marvin G. Pizon, Ronald R. Baldo, Ruthlyn N. Villarante, Jessica D. Balatero
[stat.AP]
optimal rates for estimating the covariance kernel from synchronously sampled functional data Max Berger, Hajo Holzmann
[stat.ME,stat.TH]
on the interplay between prior weight and variance of the robustification component in robust mixture prior bayesian dynamic borrowing approach Marco Ratta, Gaelle Saint-Hilary, Mauro Gasparini, Pavel Mozgunov
[stat.ME]
on the wasserstein median of probability measures Kisung You, Dennis Shung, Mauro Giuffrè
[stat.ME,stat.CO]
on the use of weighting for personalized and transparent evidence synthesis Wenqi Shi, José R. Zubizarreta
[stat.ME]
on causal inference for the survivor function Benjamin R. Baer, Ashkan Ertefaie, Robert L. Strawderman
[stat.ME]
non-linear model-based sequential decision-making in agriculture Sakshi Arya, Wentao Lin
[stat.ML,stat.AP,stat.ME]
mutual information surprise: rethinking unexpectedness in autonomous systems Yinsong Wang, Quan Zeng, Xiao Liu, Yu Ding
[stat.AP]
multiply robust inference of average treatment effects by high-dimensional empirical likelihood Xintao Xia, Yumou Qiu
[stat.ME]
multiomics tissue segmentation via spatially-informed nested biclustering methods Francesco Denti, Cecilia Balocchi, Vanna Denti, Giulia Capitoli
[stat.ME]
multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials Marcos Matabuena, Ciprian M. Crainiceanu
[stat.ME,stat.AP]
movement dynamics in elite female soccer athletes: the quantile cube approach Kendall L. Thomas, Jan Hannig
[stat.ME]
monitoring time series for relevant changes Patrick Bastian, Tim Kutta, Rupsa Basu, Holger Dette
[stat.ME]
modeling maritime transportation behavior using ais trajectories and markovian processes in the gulf of st. lawrence Gabriel Spadon, Ruixin Song, Vaishnav Vaidheeswaran, Md Mahbub Alam, Floris Goerlandt, Ronald Pelot
[stat.AP]
modeling human spatial mobility patterns with the lévy flight cluster model Malcolm Wolff, Adrian Dobra, Anton H. Westveld, Grace S. Chiu
[stat.ME,stat.AP]
mode-matched inverse gamma priors for variance components in bayesian multilevel models Liu Liu
[stat.ME]
metric oja depth, new statistical tool for estimating the most central objects Vida Zamanifarizhandi, Joni Virta
[stat.ME,stat.CO]
mediation analysis in the presence of sample selection bias with an application to disparities in liver transplantation listing Zain Khan, Lynnette Sequeira, Alexandra T. Strauss, Vedant Jain, Juliette Dixon, Eric Moughames, Tyrus Vong, Daniel Malinsky
[stat.AP,stat.ME]
measure selection for functional linear model Su I Iao, Hans-Georg Müller
[stat.ME]
maternal characteristics and newborn birth weight: a comprehensive statistical analysis Prithwiraj Chatterjee, Abhinav Tanwar, Devadharshini Udayakumar
[stat.AP]
moped: a moving sum method for change point detection in pairwise extremal dependence Euan T. McGonigle, Matthew Pawley, Jordan Richards, Christian Rohrbeck
[stat.ME]
m-estimation based on quasi-processes from discrete samples of levy processes Yasutaka Shimizu, Hiroshi Shiraishi
[stat.ME]
large-scale multiple testing: fundamental limits of false discovery rate control and compound oracle Yutong Nie, Yihong Wu
[stat.ME,stat.TH]
lhs in lhs: a new expansion strategy for latin hypercube sampling in simulation design Matteo Boschini, Davide Gerosa, Alessandro Crespi, Matteo Falcone
[stat.ME]
k-tensors: clustering positive semi-definite matrices Hanchao Zhang, Xiaomeng Ju, Baoyi Shi, Lingsong Meng, Thaddeus Tarpey
[stat.ME]
joint species distribution modeling of abundance data through latent variable barcodes Braden Scherting, Otso Ovaskainen, David B. Dunson
[stat.AP]
jacobi prior: an alternative bayesian method for supervised learning Sourish Das, Shouvik Sardar
[stat.ME]
interpretational errors with instrumental variables Luca Locher, Mats J. Stensrud, Aaron L. Sarvet
[stat.AP]
inference of epidemic networks: the effect of different data types Oscar Fajardo-Fontiveros, Carl J. E. Suster, Eduardo G. Altmann
[cond-mat.stat-mech,stat.AP]
identifying causal direction via dense functional classes Katerina Hlavackova-Schindler, Suzana Marsela
[stat.ML,stat.CO]
how can i publish my llm benchmark without giving the true answers away? Takashi Ishida, Thanawat Lodkaew, Ikko Yamane
[stat.ME]
high-dimensional spatial autoregression with latent factors by diversified projections Jiaxin Shi, Xuening Zhu, Jing Zhou, Baichen Yu, Hansheng Wang
[stat.ME]
handling sparse non-negative data in finance Agostino Capponi, Zhaonan Qu
[stat.ME]
gënëration de matrices de corrëlation avec des structures de graphe par optimisation convexe Ali Fahkar , Kévin Polisano , Irène Gannaz , Sophie Achard
[stat.ME,stat.TH]
global climate model bias correction using deep learning Abhishek Pasula, Deepak N. Subramani
[stat.AP]
generalized promotion time cure model: a new modeling framework to identify cell-type-specific genes and improve survival prognosis Zhi Zhao, Fatih Kizilaslan, Shixiong Wang, Manuela Zucknick
[stat.ME,stat.ML]
generalized correlation regression for disentangling dependence in clustered data Yibo Wang, Chenlei Leng, Cheng Yong Tang
[stat.ME,stat.AP]
generalizable estimation of conditional average treatment effects using causal forest in randomized controlled trials Rikuta Hamaya, Etsuji Suzuki, Konan Hara
[stat.ME,stat.AP]
gpu-accelerated parallel selected inversion for structured matrices using stiles Esmail Abdul Fattah, Hatem Ltaief, Havard Rue, David Keyes
[stat.CO]
g-hive: parameter estimation and approximate inference for multivariate response generalized linear models with hidden variables Inbeom Lee, Yang Ning
[stat.ME,stat.TH]
functional time series forecasting of distributions: a koopman-wasserstein approach Ziyue Wang, Yuko Araki
[stat.AP]
finite-sample non-parametric bounds with an application to the causal effect of workforce gender diversity on firm performance Grace Lordan, Kaveh Salehzadeh Nobari
[stat.ME]
feature augmentations for high-dimensional learning Xiaonan Zhu, Bingyan Wang, Jianqing Fan
[stat.AP,stat.ML]
fast and cheap krylov-based covariance smoothing Ho Yun, Victor M. Panaretos
[stat.CO,stat.AP]
false discovery rate and localizing power Anderson M. Winkler, Paul A. Taylor, Thomas E. Nichols, Chris Rorden
[stat.ME,stat.AP]
fbms: an r package for flexible bayesian model selection and model averaging Florian Frommlet, Jon Lachmann, Geir Storvik, Aliaksandr Hubin
[stat.ME,stat.AP,stat.CO,stat.ML]
evaluation of surrogate endpoints based on meta-analysis with surrogate indices Florian Stijven, Peter B. Gilbert
[stat.ME,stat.AP]
ensemble control variates Long M. Nguyen, Christopher Drovandi, Leah F. South
[stat.CO]
efficient bayesian sampling with langevin birth-death dynamics Alex Leviyev, Francesco Iacovelli, Aaron Zimmerman
[stat.AP]
dynamic spatio-temporal sequential ordinal models: application to invasive weeds Geoffrey R. Hosack, Wen-Hsi Yang, Kyana N. Pike, Luke S. O'Loughlin, Emma Cook, Brett Howland, Emily Sutcliffe, Richard N. C. Milner, Ben Gooden, Jens G. Froese
[stat.AP]
distance and kernel-based measures for global and local two-sample conditional distribution testing Jian Yan, Zhuoxi Li, Xianyang Zhang
[stat.ME,stat.ML,stat.TH]
discrete fourier transform versus discrete chi-square method Lauri Jetsu
[stat.ME]
devian-lm: an r package for detecting abnormal values in the gaussian linear model Geoffroy Berthelot , Guillaume Saulière , Jérôme Dedecker
[stat.ME]
confirmatory adaptive hypothesis tests in markovian illness-death models Rene Schmidt, Moritz Fabian Danzer
[stat.ME]
combining evidence across filtrations Yo Joong Choe, Aaditya Ramdas
[stat.ME,stat.ML,stat.TH]
cohort-anchored robust inference for event-study with staggered adoption Ziyi Liu
[stat.ME]
causal inference and racial bias in policing: new estimands and the importance of mobility data Zhuochao Huang, Brenden Beck, Joseph Antonelli
[stat.AP,stat.ME]
causal spatial quantile regression Yan Gong, Reetam Majumder, Brian J. Reich, Raphaël Huser
[stat.ME]
causal shap: feature attribution with dependency awareness through causal discovery Woon Yee Ng, Li Rong Wang, Siyuan Liu, Xiuyi Fan
[stat.ME]
causal effects in matching mechanisms with strategically reported preferences Marinho Bertanha, Margaux Luflade, Ismael Mourifié
[stat.ME]
cdsampling: an r package for constrained d-optimal sampling in paid research studies Yifei Huang, Liping Tong, Jie Yang
[stat.CO,stat.AP]
bringing closure to false discovery rate control: a general principle for multiple testing Ziyu Xu, Aldo Solari, Lasse Fischer, Rianne de Heide, Aaditya Ramdas, Jelle Goeman
[stat.ME,stat.TH]
biomarkers selection and combination based on the weighted youden index Ao Sun, Zhanwang Deng, Jiahui Zhao, Hang Li, Xiao-Hua Zhou
[stat.ME]
bias correction in factor-augmented regression models with weak factors Peiyun Jiang, Yoshimasa Uematsu, Takashi Yamagata
[stat.ME]
beyond scalar metrics: functional data analysis of postprandial continuous glucose monitoring in the aegis study Marcos Matabuena, Joe Sartini, Francisco Gude
[stat.AP]
bayesian analysis of diffusion-driven multi-type epidemic models with application to covid-19 Lampros Bouranis, Nikolaos Demiris, Konstantinos Kalogeropoulos, Ioannis Ntzoufras
[stat.CO,stat.AP]
bayesian estimation and regularization techniques in categorical data analysis Jan Kalina
[stat.ME]
asymptotic consistency and generalization in hybrid models of regularized selection and nonlinear learning Luciano Ribeiro Galvão, Rafael de Andrade Mora
[stat.OT,stat.ME]
assessing vaccine effectiveness in observational studies via nested trial emulation Justin B. DeMonte, Bonnie E. Shook-Sa, Michael G. Hudgens
[stat.ME,stat.AP]
assessing one-dimensional cluster stability by extreme-point trimming Erwan Dereure, Emmanuel Akame Mfoumou, David Holcman
[stat.ML,stat.AP]
a novel methodological framework for analyzing the momentum effect in tennis singles Chang Du, Caiya Zhang, Likai Zhou
[stat.AP]
a note on a resampling procedure for estimating the density at a given quantile Beatriz Farah , Aurélien Latouche , Olivier Bouaziz
[stat.AP]
a nonparametric bayesian analysis of independent and identically distributed observations of covariate-driven poisson processes Patric Dolmeta, Matteo Giordano
[stat.ME,stat.TH]
an affinity based opinion dynamics model for the evolving pattern of political polarization Zhang Xiaoming, Hu Yuzhong, Zhang Yiming
[stat.AP]
an adaptive design for optimizing treatment assignment in randomized clinical trials Wei Zhang, Zhiwei Zhang, Aiyi Liu
[stat.ME]
amputation-imputation based generation of synthetic tabular data for ratemaking Yevhen Havrylenko, Meelis Käärik, Artur Tuttar
[stat.ML,stat.AP]
a monotone single index model for spatially referenced multistate current status data Snigdha Das, Minwoo Chae, Debdeep Pati, Dipankar Bandyopadhyay
[stat.ME,stat.AP]
a microsimulation model of behaviour change calibrated to reversal learning data Roben Delos Reyes, Hugo Lyons Keenan, Cameron Zachreson
[stat.CO]
adaptive greedy forward variable selection for linear regression models with incomplete data using multiple imputation Yong-Shiuan Lee
[stat.ME,stat.CO]
adaptive cusum chart for simultaneous monitoring of mean and variance Gokul Parakulum, Jun Li
[stat.ME]
adaptive cusum chart for real-time monitoring of bivariate event data Gokul Parakulum, Jun Li
[stat.ME]
a time-series model for areal data using spatially correlated gaussian processes Alejandro Rozo Posada, Oswaldo Gressani, Christel Faes, James Colborn, Baltazar Candrinho, Emanuele Giorgi, Thomas Neyens
[stat.ME]
a path model to infer mathematics performance: the interrelated impact of motivation, attitude, learning style and teaching strategies variables Marvin G. Pizon, Shiryl T. Ytoc
[stat.AP]
a log-linear analytics approach to cost model regularization for inpatient stays through diagnostic code merging Chi-Ken Lu, David Alonge, Nicole Richardson, Bruno Richard
[stat.AP,stat.ML]
a hybrid apim-cfgm model for longitudinal non-exchangeable dyads: demonstrating and comparing estimation approaches using multilevel modeling Liu Liu
[stat.ME]
a flexible framework for incorporating patient preferences into q-learning Joshua P. Zitovsky, Yating Zou, Leslie Wilson, Michael R. Kosorok
[stat.ML,stat.ME]
a causal lens for evaluating faithfulness metrics Kerem Zaman, Shashank Srivastava
[stat.ME]
a bayesian optimal phase ii design for randomized immunotherapy trials with delayed treatment effects Zhongheng Cai, Haitao Pan
[stat.ME,stat.AP]