Stat Arxiv of Today - 11 Oct

panelpomp: analysis of panel data via partially observed markov processes in r Carles Bretó, Jesse Wheeler, Aaron A. King, Edward L. Ionides
[stat.ME,stat.CO]
with random regressors, least squares inference is robust to correlated errors with unknown correlation structure Zifeng Zhang, Peng Ding, Wen Zhou, Haonan Wang
[stat.ME,stat.TH]
when does interference matter? decision-making in platform experiments Ramesh Johari, Hannah Li, Anushka Murthy, Gabriel Y. Weintraub
[stat.ME]
taming the interacting particle langevin algorithm -- the superlinear case Tim Johnston, Nikolaos Makras, Sotirios Sabanis
[stat.CO,stat.ML]
systematic feature design for cycle life prediction of lithium-ion batteries during formation Jinwook Rhyu, Joachim Schaeffer, Michael L. Li, Xiao Cui, William C. Chueh, Martin Z. Bazant, Richard D. Braatz
[stat.AP]
sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising Kwangmoon Park, Sündüz Keleş
[stat.ME,stat.AP]
smoothed pseudo-population bootstrap methods with applications to finite population quantiles Vanessa McNealis, Christian Léger
[stat.ME,stat.CO]
representation-enhanced neural knowledge integration with application to large-scale medical ontology learning Suqi Liu, Tianxi Cai, Xiaoou Li
[stat.ME,stat.TH]
quasi-average predictions and regression to the trend: an application the m6 financial forecasting competition Jose M. G. Vilar
[stat.AP]
predicting dengue outbreaks: a dynamic approach with variable length markov chains and exogenous factors Marília Gabriela Rocha, Nancy L. Garcia
[stat.ME]
penalized regression with negative-unlabeled data: an approach to developing a long covid research index Harrison T. Reeder, Tanayott Thaweethai, Andrea S. Foulkes
[stat.ME]
optimized magnetic resonance fingerprinting using ziv-zakai bound Chaoguang Gong, Yue Hu, Peng Li, Lixian Zou, Congcong Liu, Yihang Zhou, Yanjie Zhu, Dong Liang, Haifeng Wang
[stat.AP]
optical isac: fundamental performance limits and transceiver design Alireza Ghazavi Khorasgani , Mahtab Mirmohseni , Ahmed Elzanaty
[stat.AP,stat.CO]
on the role of surrogates in the efficient estimation of treatment effects with limited outcome data Nathan Kallus, Xiaojie Mao
[stat.ML,stat.ME]
neural methods for amortized inference Andrew Zammit-Mangion, Matthew Sainsbury-Dale, Raphaël Huser
[stat.ML,stat.CO]
negative control outcome adjustment in early-phase randomized trials: estimating vaccine effects on immune responses in hiv exposed uninfected infants Ethan Ashby, Bo Zhang, Genevieve G Fouda, Youyi Fong, Holly Janes
[stat.ME]
modeling causal mechanisms with diffusion models for interventional and counterfactual queries Patrick Chao, Patrick Blöbaum, Sapan Patel, Shiva Prasad Kasiviswanathan
[stat.ML,stat.ME]
mapping hong kong's financial ecosystem: a network analysis of the sfc's licensed professionals and institutions Abdulla AlKetbi, Gautier Marti, Khaled AlNuaimi, Raed Jaradat, Andreas Henschel
[stat.AP]
leveraging population information in brain connectivity via bayesian ica with a novel informative prior for correlation matrices Amanda Mejia, David Bolin, Daniel Spencer, Ani Eloyan
[stat.AP]
learning associations of covid-19 hospitalizations with wastewater viral signals by markov modulated models K. Ken Peng, Charmaine B. Dean, Robert Delatolla, X. Joan Hu
[stat.ME,stat.AP]
general covariance-based conditions for central limit theorems with dependent triangular arrays Arun G. Chandrasekhar, Matthew O. Jackson, Tyler H. McCormick, Vydhourie Thiyageswaran
[stat.ME,stat.TH]
feature-centric nonlinear autoregressive models Styfen Schär, Stefano Marelli, Bruno Sudret
[stat.ME,stat.AP]
fast spatio-temporally varying coefficient modeling with reluctant interaction selection Daisuke Murakami, Shinichiro Shirota, Seiji Kajita, Mami Kajita
[stat.ME]
fast leave-one-cluster-out cross-validation using clustered network information criterion (nicc) Jiaxing Qiu, Douglas E. Lake, Pavel Chernyavskiy, Teague R. Henry
[stat.ME,stat.CO,stat.ML]
european football player valuation: integrating financial models and network theory Albert Cohen, Jimmy Risk
[stat.AP]
euclidean mirrors and first-order changepoints in network time series Tianyi Chen, Zachary Lubberts, Avanti Athreya, Youngser Park, Carey E. Priebe
[stat.ME]
dynamic borrowing from historical controls via the synthetic prior with covariates in randomized clinical trials Daniel E. Schwartz, Yuan Ji, Li Wang
[stat.ME]
dynamic interconnections between corruption and economic growth Macavilca Tello Bartolome, Kevin Fernandez, Oscar Cutipa-Luque, Yhon Tiahuallpa, Helder Rojas
[stat.AP]
doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials Jiaqi Tong, Chao Cheng, Guangyu Tong, Michael O. Harhay, Fan Li
[stat.ME]
curb your attention: causal attention gating for robust trajectory prediction in autonomous driving Ehsan Ahmadi, Ray Mercurius, Soheil Alizadeh, Kasra Rezaee, Amir Rasouli
[stat.ME]
cost-aware simulation-based inference Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol
[stat.ML,stat.CO]
control, transport and sampling: towards better loss design Qijia Jiang, David Nabergoj
[stat.ML,stat.CO]
chimeric forecasting: blending human judgment and computational methods for improved, real-time forecasts of influenza hospitalizations Thomas McAndrew, Mark Lechmanik, ErinN. Hulland, Shaun Truelove, Mark Ilodigwe, Maimuna Majumder
[stat.AP]
chasing shadows: how implausible assumptions skew our understanding of causal estimands Stijn Vansteelandt, Kelly Van Lancker
[stat.ME]
bayesian estimation for novel geometric ingarch model Divya Kuttenchalil Andrews, N. Balakrishna
[stat.ME,stat.CO]
bayesian nonparametric sensitivity analysis of multiple comparisons under dependence George Karabatsos
[stat.ME]
balancing application relevant and sparsity revealing excitation in input design Javad Parsa, Cristian R. Rojas, H{\aa}kan Hjalmarsson
[stat.ME]
bnem: a boltzmann sampler based on bootstrapped noised energy matching RuiKang OuYang, Bo Qiang, José Miguel Hernández-Lobato
[stat.CO,stat.ML]
a regression framework for studying relationships among attributes under network interference Cornelius Fritz, Michael Schweinberger, Subhankar Bhadra, David R. Hunter
[stat.ME]
analysis and optimization of seismic monitoring networks with bayesian optimal experiment design Jake Callahan, Kevin Monogue, Ruben Villarreal, Tommie Catanach
[stat.AP,stat.ML]
a multivariate spatial regression model using signatures Camille Frévent, Issa-Mbenard Dabo
[stat.ME,stat.TH]
addressing selection bias in cluster randomized experiments via weighting Georgia Papadogeorgou, Bo Liu, Fan Li, Fan Li
[stat.ME]