Stat Arxiv of Today - 22 Oct

uncertainty quantification of a multi-component hall thruster model at varying facility pressures Thomas A. Marks, Joshua D. Eckels, Gabriel E. Mora, Alex A. Gorodetsky
[stat.AP,stat.ML]
towards identifiability of hierarchical temporal causal representation learning Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang
[stat.ME]
the picard-lagrange framework for higher-order langevin monte carlo Jaideep Mahajan, Kaihong Zhang, Feng Liang, Jingbo Liu
[stat.ME,stat.ML,stat.TH]
testing risk difference of two proportions for combined unilateral and bilateral data Jia Zhou, Chang-Xing Ma
[stat.ME]
stochastic path planning in correlated obstacle fields Li Zhou, Elvan Ceyhan
[stat.ML,stat.CO]
scalable bayesian inference for time series via divide-and-conquer Rihui Ou, Lachlan Astfalck, Deborshee Sen, David Dunson
[stat.ME,stat.CO]
quantifying periodicity in non-euclidean random objects Jiazhen Xu, Andrew T. A. Wood, Tao Zou
[stat.ME]
pseudo-spectra of multivariate inhomogeneous spatial point processes Qi-Wen Ding, Junho Yang, Joonho Shin
[stat.ME]
principled argo modeling using vecchia-based gaussian processes Nian Liu, Jian Cao
[stat.CO,stat.ME]
penalised spline estimation of covariate-specific time-dependent roc curves María Xosé Rodríguez-Álvarez, Vanda Inácio
[stat.ME,stat.CO]
partial voros: a cost-aware performance metric for binary classifiers with precision and capacity constraints Christopher Ratigan, Kyle Heuton, Carissa Wang, Lenore Cowen, Michael C. Hughes
[stat.ME]
on the kolmogorov distance of max-stable distributions Enkelejd Hashorva
[stat.AP,stat.ME,stat.OT]
on minimal predictable intensity of point processes Haoming Wang
[stat.AP]
non-parametric estimation techniques of factor copula model using proxies Bahareh Ghanbari, Pavel Krupskiy, Laleh Tafakori, Yan Wang
[stat.ME]
nearly dimension-independent convergence of mean-field black-box variational inference Kyurae Kim, Yi-An Ma, Trevor Campbell, Jacob R. Gardner
[stat.ML,stat.CO]
modelling the spatially varying non-linear effects of heat exposure Xinyi Chen, Marta Blangiardo, Connor Gascoigne, Garyfallos Konstantinoudis
[stat.AP]
measuring deviations from spherical symmetry Lujia Bai, Holger Dette
[stat.ME,stat.TH]
measure-theoretic anti-causal representation learning Arman Behnam, Binghui Wang
[stat.ME]
kernel-based nonparametric tests for shape constraints Rohan Sen
[stat.ML,stat.ME,stat.TH]
interval prediction of annual average daily traffic on local roads via quantile random forest with high-dimensional spatial data Ying Yao, Daniel J. Graham
[stat.ML,stat.AP]
inference on local variable importance measures for heterogeneous treatment effects Pawel Morzywolek, Peter B. Gilbert, Alex Luedtke
[stat.ME,stat.ML,stat.TH]
finding the sweet spot: optimal data augmentation ratio for imbalanced credit scoring using adasyn Luis H. Chia
[stat.AP]
elicitability and identifiability of tail risk measures Tobias Fissler, Fangda Liu, Ruodu Wang, Linxiao Wei
[stat.ME,stat.TH]
distributional regression for seasonal data: an application to river flows Samuel Perreault, Silvana M. Pesenti, Daniyal Shahzad
[stat.AP,stat.ME]
differentially private e-values Daniel Csillag, Diego Mesquita
[stat.ME,stat.ML]
dipmind: distance profile based mutual independence testing for random objects Yaqing Chen, Paromita Dubey
[stat.ME]
designing a circular economy network for ppe masks supply chain: a case study of british columbia, canada Jainil Dharmil Shah, Behrooz Khorshidvand, Niloofar Gilani Larimi, Adel Guitouni
[stat.AP]
copula structural equation models for mediation pathway analysis Canyi Chen, Ritoban Kundu, Wei Hao, Peter X. -K. Song
[stat.ME]
consistency of nonparametric density estimators in cat(0) orthant space Yuki Takazawa, Tomonari Sei
[stat.ME,stat.TH]
conformal inference for missing data under multiple robust learning Wenlu Tang, Hongni Wang, Xingcai Zhou, Bei Jiang, Linglong Kong
[stat.ME]
comparison of simulation-guided design to closed-form power calculations in planning a cluster randomized trial with covariate-constrained randomization: a case study in rural chad Jay JH Park, Rebecca K. Metcalfe, Nathaniel Dyrkton, Yichen Yan, Shomoita Alam, Kevin Phelan, Ibrahim Sana, Susan Shepherd
[stat.AP,stat.ME]
choosing an analytic approach: key study design considerations in state policy evaluation Elizabeth M. Stone, Megan S. Schuler, Elizabeth A. Stuart, Max Rubinstein, Max Griswold, Bradley D. Stein, Beth Ann Griffin
[stat.ME]
cartesian statistics on spheres Rudolf Beran
[stat.ME]
can we validate counterfactual estimations in the presence of general network interference? Sadegh Shirani, Yuwei Luo, William Overman, Ruoxuan Xiong, Mohsen Bayati
[stat.ME,stat.ML]
assessing survival models by interval testing Ben Lee
[stat.ME]
assessing monotone dependence: area under the curve meets rank correlation Eva-Maria Walz, Andreas Eberl, Tilmann Gneiting
[stat.ME]
arbitrated indirect treatment comparisons Yixin Fang, Weili He
[stat.ML,stat.ME]
a novel decomposition to explain heterogeneity in observational and randomized studies of causality Brian Gilbert, Ivan D{\i}az, Kara E. Rudolph, Nicholas Williams, Tat-Thang Vo
[stat.ME]
a new test for assessing the covariate effect in roc curves Arís Fanjul-Hevia, Juan Carlos Pardo-Fernández, Wenceslao González-Manteiga
[stat.ME,stat.AP]
a new implementation of network garch model Peiyi Zhou
[stat.ME]
adaptive grid-based thompson sampling for efficient trajectory discovery Arindam Fadikar, Abby Stevens, Mickael Binois, Nicholson Collier, Jonathan Ozik
[stat.ME]
accelerating bayesian inference via multi-fidelity transport map coupling Sanjan C. Muchandimath, Joaquim R. R. A. Martins, Alex A. Gorodetsky
[stat.ME,stat.AP]
a spatio-temporal cp decomposition analysis of new england region in the us Fatoumata Sanogo
[stat.AP]
a nonparametric bayesian solution of the empirical stochastic inverse problem Haiyi Shi, Lei Yang, Jiarui Chi, Troy Butler, Haonan Wang, Derek Bingham, Don Estep
[stat.ME,stat.CO,stat.TH]
a frequentist statistical introduction to variational inference, autoencoders, and diffusion models Yen-Chi Chen
[stat.ML,stat.CO,stat.ME]