Stat Arxiv of Today - 2 Apr

pumbayes: bayesian estimation of probit unfolding models for binary preference data in r Skylar Shi , Abel Rodriguez , Rayleigh Lei
[stat.CO,stat.AP,stat.ME]
variable selection in balance regression with applications to microbiome compositional data Jing Ma, Paizhe Xie, Kristyn Pantoja, David E. Jones
[stat.ME]
uncertainty quantification for data-driven weather models Christopher Bülte, Nina Horat, Julian Quinting, Sebastian Lerch
[stat.AP,stat.ML]
use-lfa: a data-driven framework for uam site evaluation using latent factor analysis Sungmin Sohn, Namwoo Kim, Mark Hansen, Yoonjin Yoon
[stat.AP]
topological clustering of agents in hidden information contagions: application to financial markets Anubha Goel, Henri Hansen, Juho Kanniainen
[stat.ME]
the role of post intercurrent event data in the estimation of hypothetical estimands in clinical trials Jonathan W. Bartlett, Rhian M. Daniel
[stat.ME]
the role of mean absolute deviation function in obtaining smooth estimation for distribution and density functions: beta regression approach Elsayed A. H. Elamir
[stat.ME]
sequential design with posterior and posterior predictive probabilities Luke Hagar, Shirin Golchi, Marina B. Klein
[stat.ME]
self and mutually exciting point process embedding flexible residuals and intensity with discretely markovian dynamics Kyungsub Lee
[stat.ME]
scalable durational event models: application to physical and digital interactions Cornelius Fritz, Riccardo Rastelli, Michael Fop, Alberto Caimo
[stat.ME,stat.CO]
safe policy learning through extrapolation: application to pre-trial risk assessment Eli Ben-Michael, D. James Greiner, Kosuke Imai, Zhichao Jiang
[stat.ML,stat.ME]
reducing differential item functioning via process data Ling Chen, Susu Zhang, Jingchen Liu
[stat.AP]
quantile treatment effects in high dimensional panel data Yihong Xu, Li Zheng
[stat.ME,stat.AP]
producing population-level estimates of internal displacement in ukraine using gps mobile phone data Rodgers Iradukunda, Francisco Rowe, Elisabetta Pietrostefani
[stat.AP]
optimal e-values for exponential families: the simple case Peter Grünwald, Tyron Lardy, Yunda Hao, Shaul K. Bar-Lev, Martijn de Jong
[stat.ME,stat.TH]
nirvar: network informed restricted vector autoregression Brendan Martin, Francesco Sanna Passino, Mihai Cucuringu, Alessandra Luati
[stat.ME,stat.AP]
multi-stage group testing with (r,s)-regular design algorithms Michael Balzer
[stat.ME]
multinomial link models Tianmeng Wang, Liping Tong, Jie Yang
[stat.ME]
low-rank thinning Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey
[stat.ML,stat.ME,stat.TH]
local false sign rate and the role of prior covariance rank in multivariate empirical bayes multiple testing Dongyue Xie
[stat.ME,stat.AP]
individualized policy evaluation and learning under clustered network interference Yi Zhang, Kosuke Imai
[stat.ME]
graphical models and efficient inference methods for multivariate phase probability distributions Andrew S. Perley, Todd P. Coleman
[stat.ME,stat.AP,stat.TH]
forecasting intraday foreign exchange volatility with functional garch approaches Fearghal Kearney, Han Lin Shang, Yuqian Zhao
[stat.ME,stat.AP]
forecasting age distribution of deaths: cumulative distribution function transformation Han Lin Shang, Steven Haberman
[stat.ME,stat.AP]
efficient computation of high-dimensional penalized piecewise constant hazard random effects models Hillary M. Heiling, Naim U. Rashid, Quefeng Li, Xianlu L. Peng, Jen Jen Yeh
[stat.ME,stat.CO]
dynamic factor analysis of high-dimensional recurrent events Fangyi Chen, Yunxiao Chen, Zhiliang Ying, Kangjie Zhou
[stat.ME,stat.TH]
domain adaptation under mnar missingness Tyrel Stokes, Hyungrok Do, Saul Blecker, Rumi Chunara, Samrachana Adhikari
[stat.ME,stat.ML]
detecting adverse high-order drug interactions from individual case safety reports using computational statistics on disproportionality measures Jules Bangard , Einar Holsb{\o} , Kristian Svendsen , Vittorio Perduca , Etienne Birmelé
[stat.AP,stat.CO]
deep learning-based hypoglycemia classification across multiple prediction horizons Beyza Cinar, Jennifer Daniel Onwuchekwa, Maria Maleshkova
[stat.AP]
clustering analysis of long-term cardiovascular complications in covid-19 patients Seyed Ali Sadegh-Zadeh, Alireza Soleimani Mamalo, Mahsa Behnemoon, Masoud Ojarudi, Naser Gharebaghi, Mohammad Reza Pashaei
[stat.AP]
calibration strategies for robust causal estimation: theoretical and empirical insights on propensity score based estimators Jan Rabenseifner, Sven Klaassen, Jannis Kueck, Philipp Bach
[stat.ML,stat.ME]
bayesian nonparametric copulas with tail dependence Maria Concepción Ausín, Maria Kalli
[stat.ME,stat.AP]
assessing and improving reliability of neighbor embedding methods: a map-continuity perspective Zhexuan Liu, Rong Ma, Yiqiao Zhong
[stat.ME,stat.CO,stat.ML]
assessing driving risk through unsupervised detection of anomalies in telematics time series data Ian Weng Chan, Andrei L. Badescu, X. Sheldon Lin
[stat.AP]
a multi-locus predictiveness curve and its summary assessment for genetic risk prediction Changshuai Wei, Ming Li, Yalu Wen, Chengyin Ye, Qing Lu
[stat.ME]
a graphical framework for interpretable correlation matrix models Anna Freni Sterrantino, Denis Rustand, Janet van Niekerk, Elias Teixeira Krainski, H{\aa}vard Rue
[stat.ME]
ai-powered bayesian inference Veronika Ročková, Sean O'Hagan
[stat.ME,stat.ML]
a bayesian latent gaussian conditional autoregressive copula model for analyzing spatially-varying trends in rainfall Sayan Bhowmik, Arnab Hazra
[stat.AP]