Stat Arxiv of Today - 26 Mar

variational inference for hierarchical models with conditional scale and skewness corrections Lucas Kock, Linda S. L. Tan, Prateek Bansal, David J. Nott
[stat.ME]
use of lambert w function in the simulation of weibull and non-weibull distributions Subhashree Patra, Subarna Bhattacharjee
[stat.CO]
stochastic ecohydrological perspective on semi-distributed rainfall-runoff dynamics Mark S. Bartlett, Elizabeth Cultra, Nathan Geldner, Amilcare Porporato
[stat.AP]
statistical inference for high-dimensional matrix-variate factor models with missing observations Yongxia Zhang, Jinwen Liang, Liwen Xu, Keming Yu, Maozai Tian
[stat.ME]
statistical design and rationale of the biomarkers for evaluating spine treatments (best) trial John Sperger, Kelley M. Kidwell, Matthew C. Mauck, Beibo Zhao, Kevin J. Anstrom, Anna Batorsky, Timothy S. Carey, Daniel J. Clauw, Nikki L. B. Freeman, Carol M. Greco, Anastasia Ivanova, Sara Jones Berkeley, Samuel A. McLean, Matthew A. Psioda, Bryce Rowland, Gwendolyn A. Sowa, Ajay D. Wasan, Joshua P Zitovsky, Michael R. Kosorok
[stat.AP]
skewness of a randomized quasi-monte carlo estimate Zexin Pan, Art B. Owen
[stat.CO]
robust integration of external control data in randomized trials Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis, Jesse H. Krijthe, Issa J. Dahabreh
[stat.ME]
quantifying the internal validity of weighted estimands Alexandre Poirier, Tymon S{\l}oczyński
[stat.ME]
no-prior bayesian inference reimagined: probabilistic approximations of inferential models Ryan Martin
[stat.ME,stat.TH]
nonparametric estimation of hawkes processes with rkhss Anna Bonnet, Maxime Sangnier
[stat.ML,stat.ME]
multiple testing of local extrema for detection of structural breaks in piecewise linear models Zhibing He, Dan Cheng, Yunpeng Zhao
[stat.ME]
multilevel monte carlo metamodeling for variance function estimation Jingtao Zhang, Xi Chen
[stat.ME]
minimum volume conformal sets for multivariate regression Sacha Braun, Liviu Aolaritei, Michael I. Jordan, Francis Bach
[stat.ML,stat.ME,stat.OT]
locally private nonparametric contextual multi-armed bandits Yuheng Ma, Feiyu Jiang, Zifeng Zhao, Hanfang Yang, Yi Yu
[stat.ML,stat.ME]
identification of average treatment effects in nonparametric panel models Susan Athey, Guido Imbens
[stat.ME]
huber-robust likelihood ratio tests for composite nulls and alternatives Aytijhya Saha, Aaditya Ramdas
[stat.ME]
generalization issues in conjoint experiment: attention and salience Jiawei Fu, Xiaojun Li
[stat.AP]
exact identifiability analysis for a class of partially observed near-linear stochastic differential equation models Alexander P Browning, Michael J Chappell, Hamid Rahkooy, Torkel E Loman, Ruth E Baker
[stat.ME]
empirical bayes shrinkage (mostly) does not correct the measurement error in regression Jiafeng Chen, Jiaying Gu, Soonwoo Kwon
[stat.ME]
conditional partial exchangeability: a probabilistic framework for multi-view clustering Beatrice Franzolini, Maria De Iorio, Johan Eriksson
[stat.ME,stat.TH]
combining predictive distributions for time-to-event outcomes in meteorology Céline Cunen, Thea Roksv{\aa}g, Claudio Heinrich-Mertsching, Alex Lenkoski
[stat.AP]
cheap permutation testing Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
[stat.CO,stat.ME,stat.ML,stat.TH]
causal panel analysis under parallel trends: lessons from a large reanalysis study Albert Chiu, Xingchen Lan, Ziyi Liu, Yiqing Xu
[stat.ME,stat.AP]
bootstrapping estimators based on the block maxima method Axel Bücher, Torben Staud
[stat.ME,stat.TH]
bayesian semi-parametric spatial dispersed count model for precipitation analysis Mahsa Nadifar, Andriette Bekker, Mohammad Arashi, Abel Ramoelo
[stat.ME,stat.ML]
bayesian outlier detection for matrix-variate models Monica Billio, Roberto Casarin, Fausto Corradin, Antonio Peruzzi
[stat.ME]
a novel forecasting framework combining virtual samples and enhanced transformer models for tourism demand forecasting Tingting Diao, Xinzhang Wu, Lina Yang, Ling Xiao, Yunxuan Dong
[stat.AP]
an overview of low-rank structures in the training and adaptation of large models Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras
[stat.CO,stat.ML]
an approximate monte carlo simulation method for estimating uncertainty and constructing confidence intervals for 2020 census statistics Robert Ashmead, Michael B. Hawes, Mary Pritts, Pavel Zhuravlev, Sallie Ann Keller
[stat.ME]
a general joint latent class model of longitudinal and survival data with the covariance modelling Ruoyu Miao, Christiana Charalambous
[stat.ME]
a general framework for probabilistic model uncertainty Vik Shirvaikar, Stephen G. Walker, Chris Holmes
[stat.ME]
adding covariates to bounds: what is the question? Gustav Jonzon, Erin E Gabriel, Arvid Sjölander, Michael C Sachs
[stat.ME]
a burn-in(g) question: how long should an initial equal randomization stage be before bayesian response-adaptive randomization? Edwin Y. N. Tang, Stef Baas, Daniel Kaddaj, Lukas Pin, David S. Robertson, Sofía S. Villar
[stat.ME]