Stat Arxiv of Today - 17 Dec
-
univariate-guided interaction modeling Aymen Echarghaoui, Robert Tibshirani
[stat.ME]
-
understanding statistics for biomedical research through the lens of replication Huw Llewelyn
[stat.AP,stat.TH]
-
undersmoothed lasso models for propensity score weighting and synthetic negative control exposures for bias detection Richard Wyss, Ben B. Hansen, Georg Hahn, Lars van der Laan, Kueiyu Joshua Lin
[stat.ME]
-
two bayesian approaches to dynamic gaussian bayesian networks with intra- and inter-slice edges Kezhuo Li, Marco Grzegorczyk
[stat.CO]
-
trunc-opt vine building algorithms Dániel Pfeifer, Edith Alice Kovács
[stat.ME,stat.CO,stat.ML]
-
the monge optimal transport barycenter problem Andrew D. Lipnick, Esteban G. Tabak, Giulio Trigila, Yating Wang, Xuancheng Ye, Wenjun Zhao
[stat.ME]
-
the eepas model revisited: statistical formalism and a high-performance, reproducible open-source framework Szu-Chi Chung, Chien-Hong Cho, Strong Wen
[stat.AP]
-
testing for dice control at craps Stewart N. Ethier
[stat.ME]
-
supporting migration policies with forecasts: illegal border crossings in europe through a mixed approach C. Bosco, U. Minora, D. de Rigo, J. Pingsdorf, R. Cortinovis
[stat.AP]
-
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]
-
spatial-network treatment effects: a continuous functional approach Tatsuru Kikuchi
[stat.ME]
-
simulation-guided planning of a target trial emulated cluster randomized trial for mass small-quantity lipid nutrient supplementation combined with expanded program on immunization in rural niger Shomoita Alam, Nathaniel Dyrkton, Susan Shepherd, Ibrahim Sana, Kevin Phelan, Jay JH Park
[stat.AP,stat.ME]
-
signature-informed selection detection: a novel method for multi-locus temporal population genetic model with recombination Ritabrata Dutta, Yuehao Xu, Sherman Khoo, Francesca Basini, Andreas Futschik
[stat.ME,stat.AP]
-
sequential randomization tests using e-values: applications for trial monitoring Fernando G Zampieri
[stat.ME,stat.AP]
-
robust a posteriori estimation of probit-lognormal seismic fragility curves via sequential design of experiments and constrained reference prior Antoine Van Biesbroeck, Clément Gauchy, Cyril Feau, Josselin Garnier
[stat.AP]
-
prediction of respiratory syncytial virus-associated hospitalizations using machine learning models based on environmental data Eric Guo
[stat.AP,stat.ME]
-
partially retargeted balancing weights for causal effect estimation under positivity violations Martha Barnard, Jared D. Huling, Julian Wolfson
[stat.ME]
-
parameter estimation for partially observed stable continuous-state branching processes Eduardo Gutiérrez-Peña, Carlos Octavio Pérez-Mendoza, Alan Riva Palacio, Arno Siri-Jégousse
[stat.ME]
-
on the hardness of conditional independence testing in practice Zheng He, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland
[stat.ML,stat.ME]
-
on the graphical rules for recovering the average treatment effect under selection bias Yichi Zhang, Haidong Lu
[stat.ME]
-
on the e(s^2)-optimality of two-level supersaturated designs constructed using wu's method of partially aliased interactions on certain two-level orthogonal arrays E. Androulakis, K. Chatterjee, H. Evangelaras
[stat.ME]
-
nowcasting using regression on signatures Samuel N. Cohen, Giulia Mantoan, Lars Nesheim, Áureo de Paula, Arthur Turrell, Lingyi Yang
[stat.ME]
-
most powerful test with exact family-wise error rate control: necessary conditions and a path to fast computing Prasanjit Dubey, Xiaoming Huo
[stat.ME]
-
model-robust inference for seamless ii/iii trials with covariate adaptive randomization Kun Yi, Lucy Xia
[stat.ME]
-
modeling and forecasting subnational age distribution of death counts Han Lin Shang, Cristian F. Jiménez-Varón
[stat.ME,stat.AP]
-
maximum mean discrepancy with unequal sample sizes via generalized u-statistics Aaron Wei, Milad Jalali, Danica J. Sutherland
[stat.ML,stat.ME,stat.TH]
-
low-rank covariate balancing estimators under interference Souhardya Sengupta, Kosuke Imai, Georgia Papadogeorgou
[stat.ME]
-
joint models with multiple markers and multiple time-to-event outcomes using variational approximations Benjamin Christoffersen, Keith Humphreys, Alessandro Gasparini, Birzhan Akynkozhayev, Hedvig Kjellström, Mark Clements
[stat.ME,stat.CO]
-
inference with randomized regression trees Soham Bakshi, Yiling Huang, Snigdha Panigrahi, Walter Dempsey
[stat.ME]
-
inference on the attractor spaces via functional approximation Massimo Franchi, Paolo Paruolo
[stat.ME,stat.TH]
-
improving the accuracy of amortized model comparison with self-consistency Šimon Kucharský, Aayush Mishra, Daniel Habermann, Stefan T. Radev, Paul-Christian Bürkner
[stat.ML,stat.CO]
-
fused $l_{1/2}$ prior for large scale linear inverse problem with gibbs bouncy particle sampler Xiongwen Ke, Yanan Fan, Qingping Zhou
[stat.CO,stat.ME]
-
finite-sample nonparametric bounds with an application to the causal effect of workforce gender diversity on firm performance Grace Lordan, Kaveh Salehzadeh Nobari
[stat.ME]
-
estimating program participation with partial validation Augustine Denteh, Pierre E. Nguimkeu
[stat.ME]
-
efficient inference in first passage time models Sicheng Liu, Alexander Fengler, Michael J. Frank, Matthew T. Harrison
[stat.ME,stat.AP,stat.CO]
-
differential test functioning via robust scaling Peter F. Halpin
[stat.ME]
-
causal secondary analysis of linked data in the presence of mismatch error Martin Slawski
[stat.ME]
-
causal inference for network autoregression model: a targeted minimum loss estimation approach Yong Wu, Shuyuan Wu, Xinwei Sun, Xuening Zhu
[stat.ME]
-
causal-icm: a data fusion framework for heterogeneous treatment effect estimation with multi-task gaussian processes Evangelos Dimitriou, Edwin Fong, Jens Magelund Tarp, Karla Diaz-Ordaz, Brieuc Lehmann
[stat.ME,stat.AP]
-
cflight: enhancing safety with traffic signal control through counterfactual learning Mingyuan Li, Chunyu Liu, Zhuojun Li, Xiao Liu, Guangsheng Yu, Bo Du, Jun Shen, Qiang Wu
[stat.ME]
-
bond strength uncertainty quantification via confidence intervals for nondestructive evaluation of bonded composites Michael C. Stanley, Peter W. Spaeth, James E. Warner, Matthew R. Webster
[stat.ME,stat.AP]
-
bias-variance trade-off for clipped stochastic first-order methods: from bounded variance to infinite mean Chuan He
[stat.CO,stat.ML]
-
bayesian global-local regularization Jyotishka Datta, Nick Polson, Vadim Sokolov
[stat.ME,stat.TH]
-
a variational bayes latent class approach for ehr-based patient phenotyping in r Brian Buckley, Adrian O'Hagan, Marie Galligan
[stat.CO,stat.ML]
-
a two-stage approach to heat-mortality risk assessment comparing multiple exposure-to-temperature models: the case study in lazio, italy Emiliano Ceccarelli, Jorge Castillo-Mateo, Sandra Gudžiūnaitė, Giada Minelli, Giovanna Jona Lasinio, Marta Blangiardo
[stat.AP]
-
asymptotic inference for rank correlations Marc-Oliver Pohle, Jan-Lukas Wermuth, Christian H. Wei{\ss}
[stat.ME]
-
a latent variable model for identifying and characterizing food adulteration Alessandro Casa, Thomas Brendan Murphy, Michael Fop
[stat.ME,stat.AP]
-
a flexible class of latent variable models for the analysis of antibody response data Emanuele Giorgi, Jonas Wallin
[stat.ME]
-
a fine-grained look at causal effects in causal spaces Junhyung Park, Yuqing Zhou
[stat.ME,stat.TH]
-
a recursive theory of variational state estimation: the dynamic programming approach Filip Tronarp
[stat.ME]
-
a path signature framework for detecting creative fatigue in digital advertising Charles Shaw
[stat.AP]
-
a fair, flexible, zero-waste digital electricity market: a first-principles approach combining automatic market making, holarchic architectures and shapley theory Shaun Sweeney, Robert Shorten, Mark O'Malley
[stat.AP]
-
a computable measure of suboptimality for entropy-regularised variational objectives Clémentine Chazal, Heishiro Kanagawa, Zheyang Shen, Anna Korba, Chris. J. Oates
[stat.CO,stat.ML]
-
a bayesian latent gaussian conditional autoregressive copula model for analyzing spatially-varying trends in rainfall Sayan Bhowmik, Arnab Hazra
[stat.AP]