Stat Arxiv of Today - 3 Apr

shapr: explaining machine learning models with conditional shapley values in r and python Martin Jullum, Lars Henry Berge Olsen, Jon Lachmann, Annabelle Redelmeier
[stat.CO]
time-to-event prediction for grouped variables using exclusive lasso Dayasri Ravi, Andreas Groll
[stat.ME,stat.CO,stat.ML]
stock return prediction based on a functional capital asset pricing model Ufuk Beyaztas, Kaiying Ji, Han Lin Shang, Eliza Wu
[stat.ME,stat.AP]
splinesketch: even more accurate quantiles with error guarantees Aleksander {\L}ukasiewicz, Jakub Tětek, Pavel Veselý
[stat.CO]
segmentation variability and radiomics stability for predicting triple-negative breast cancer subtype using magnetic resonance imaging Isabella Cama, Alejandro Guzmán, Cristina Campi, Michele Piana, Karim Lekadir, Sara Garbarino, Oliver Díaz
[stat.AP]
selic: semantic-enhanced learned image compression via high-level textual guidance Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han
[stat.AP]
robust universal inference for misspecified models Beomjo Park, Sivaraman Balakrishnan, Larry Wasserman
[stat.ME]
predicting passenger injury distributions under uncertainty variables using gaussian process modeling with ghbmc Changmin Baek, Junik Cho, Dongjin Lee
[stat.AP]
phase vs coin vs position disorder as a probe for the resilience and revival of single particle entanglement in cyclic quantum walks Dinesh Kumar Panda, Colin Benjamin
[cond-mat.stat-mech,stat.AP]
on the limitations for causal inference in cox models with time-varying treatment Mark B. Knudsen, Erin E. Gabriel, Torben Martinussen, Helene C. W. Rytgaard, Arvid Sjölander
[stat.ME]
on robust empirical likelihood for nonparametric regression with application to regression discontinuity designs Qin Fang, Shaojun Guo, Yang Hong, Xinghao Qiao
[stat.ME,stat.TH]
non-parametric quantile regression and uniform inference with unknown error distribution Haoze Hou, Wei Huang, Zheng Zhang
[stat.ME]
multi-marker similarity enables reduced-reference and interpretable image quality assessment in optical microscopy Elena Corbetta, Thomas Bocklitz
[stat.AP,stat.ME]
method-of-moments inference for glms and doubly robust functionals under proportional asymptotics Xingyu Chen, Lin Liu, Rajarshi Mukherjee
[stat.ME,stat.ML,stat.TH]
likelihood based inference in fully and partially observed exponential family graphical models with intractable normalizing constants Yujie Chen, Anindya Bhadra, Antik Chakraborty
[stat.ME,stat.CO,stat.ML]
leveraging statistical models to improve pre-season forecasting and in-season management of a recreational fishery A. Challen Hyman, Chloe Ramsay, Tiffanie A. Cross, Beverly Sauls, Thomas K. Frazer
[stat.AP]
integer programming for learning directed acyclic graphs from non-identifiable gaussian models Tong Xu, Armeen Taeb, Simge Küçükyavuz, Ali Shojaie
[stat.ME,stat.ML]
hidden markov model filtering with equal exit probabilities Dongyan Sui, Haotian Pu, Siyang Leng, Stefan Vlaski
[stat.AP]
graph sub-sampling for divide-and-conquer algorithms in large networks Eric Yanchenko
[stat.CO]
granger causal inference for climate change attribution Mark D. Risser, Mohammed Ombadi, Michael F. Wehner
[stat.AP]
gaussian entropic optimal transport: schrödinger bridges and the sinkhorn algorithm O. Deniz Akyildiz, Pierre Del Moral, Joaquín Miguez
[stat.ML,stat.CO]
evaluating probabilities without model risk Joan del Castillo, Pedro Puig
[stat.AP]
dependence-based fuzzy clustering of functional time series Angel Lopez-Oriona, Ying Sun, Han Lin Shang
[stat.ME,stat.AP]
density estimation via mixture discrepancy and moments Zhengyang Lei, Sihong Shao
[stat.ML,stat.ME]
data-driven knowledge transfer in batch $q^*$ learning Elynn Chen, Xi Chen, Wenbo Jing
[stat.ME,stat.ML]
conformal anomaly detection for functional data with elastic distance metrics Jason Adams, Brandon Berman, Joshua Michalenko, J. Derek Tucker
[stat.ME]
conditionally affinely invariant rerandomization and its admissible complete class Zhen Zhong, Donald B. Rubin
[stat.ME]
comparison of bayesian methods for extrapolation of treatment effects: a large scale simulation study Tristan Fauvel, Julien Tanniou, Pascal Godbillot, Billy Amzal
[stat.ME,stat.AP]
cause or trigger? from philosophy to causal modeling Kateřina Hlaváčková-Schindler, Rainer Wö\ss, Vera Pecorino, Philip Schindler
[stat.ME]
bootstrap-based goodness-of-fit test for parametric families of conditional distributions Gitte Kremling, Gerhard Dikta
[stat.ME]
bivariate simplex distribution Emerson Amaral, Lucas S. Vieira, Lizandra C. Fabio, Vanessa Barros, Jalmar M. F. Carrasco
[stat.ME]
batch, match, and patch: low-rank approximations for score-based variational inference Chirag Modi, Diana Cai, Lawrence K. Saul
[stat.ML,stat.CO]
assessing mediation in cross-sectional stepped wedge cluster randomized trials Zhiqiang Cao, Fan Li
[stat.ME]
angular co-variance using intrinsic geometry of torus: non-parametric change points detection in meteorological data Surojit Biswas, Buddhananda Banerjee, Arnab Kumar Laha
[stat.ME]
analyzing functional data with a mixture of covariance structures using a curved-based sampling scheme Yian Yu, Bo Wang, Jian Qing Shi
[stat.ME]
adoption and implication of the biased-annotator competence estimation (bace) model into covid-19 vaccine twitter data: human annotation for latent message features Luhang Sun, Yun-Shiuan Chuang, Yibing Sun, Sijia Yang
[stat.AP,stat.CO]
addressing an extreme positivity violation to distinguish the causal effects of surgery and anesthesia via separable effects Amy J. Pitts, Ling Guo, Caleb Ing, Caleb H. Miles
[stat.AP,stat.ME]
adaptive adequacy testing of high-dimensional factor-augmented regression model Yanmei Shi, Leheng Cai, Xu Guo, Shu rong Zheng
[stat.ME]
a primer on the analysis of randomized experiments and a survey of some recent advances Yuehao Bai, Azeem M. Shaikh, Max Tabord-Meehan
[stat.ME]
a practical guide to estimating conditional marginal effects: modern approaches Jiehan Liu, Ziyi Liu, Yiqing Xu
[stat.ME]
a new approach to the nonparametric behrens-fisher problem with compatible confidence intervals Stephen Schüürhuis, Frank Konietschke, Edgar Brunner
[stat.ME]
a doubly robust framework for addressing outcome-dependent selection bias in multi-cohort ehr studies Ritoban Kundu, Xu Shi, Michael Kleinsasser, Lars G. Fritsche, Maxwell Salvatore, Bhramar Mukherjee
[stat.ME]
a causal inference framework for data rich environments Alberto Abadie, Anish Agarwal, Devavrat Shah
[stat.ME]
a bayesian age-period-cohort approach for modeling fertility in puerto rico Jomarie Jiménez González, Angélica M. Rosario Santos, Luis R. Pericchi Guerra, Hernando Mattei
[stat.AP]