Stat Arxiv of Today - 4 Jul

the poisson tensor completion non-parametric differential entropy estimator Daniel M. Dunlavy, Richard B. Lehoucq, Carolyn D. Mayer, Arvind Prasadan
[stat.ME,stat.TH]
the gauss-markov adjunction: categorical semantics of residuals in supervised learning Moto Kamiura
[stat.ME,stat.ML]
the choice of normalization influences shrinkage in regularized regression Johan Larsson, Jonas Wallin
[stat.ML,stat.ME]
tensor-product interactions in markov-switching models Jan-Ole Koslik
[stat.ME]
strategies and statistical evaluation of italy's regional model for covid-19 restrictions Giuseppe Drago, Giulia Marcon, Alberto Lombardo, Giuseppe Aiello
[stat.AP]
ridge regression for manifold-valued time-series with application to meteorological forecast Esfandiar Nava-Yazdani
[stat.AP,stat.ML]
reduced efficiency in the attentional network during distractor suppression in mild cognitive impairment Jatupong Oboun, Piyanon Charoenpoonpanich, Anna Raksapatcharawong, Chaipat Chunharas, Itthi Chatnuntawech, Chainarong Amornbunchornvej, Sirawaj Itthipuripat
[stat.AP]
rational function approximation with normalized positive denominators James Chok, Geoffrey M. Vasil
[stat.CO]
quantum-enhanced causal discovery for a small number of samples Yu Terada, Ken Arai, Yu Tanaka, Yota Maeda, Hiroshi Ueno, Hiroyuki Tezuka
[stat.ME]
post-treatment problems: what can we say about the effect of a treatment among sub-groups who (would) respond in some way? Chad Hazlett, Nina McMurry, Tanvi Shinkre
[stat.ME]
on the analysis of sequential designs without a specified number of observations Anna Klimova, Tamás Rudas
[stat.ME]
non-negative matrix factorization algorithms generally improve topic model fits Peter Carbonetto, Abhishek Sarkar, Zihao Wang, Matthew Stephens
[stat.ML,stat.CO]
it's hard to be normal: the impact of noise on structure-agnostic estimation Jikai Jin, Lester Mackey, Vasilis Syrgkanis
[stat.ML,stat.ME,stat.TH]
interpreting the win ratio in hierarchical composite endpoints: challenges, limitations, and perspectives with examples from chronic kidney disease trials Henrik F. Thomsen, Samvel B. Gasparyan, Julie F. Furberg, Christoph Tasto, Nicole Rethemeier, Patrick Schloemer, Tuo Wang, Niels Jongs, Yu Du, Tom Greene
[stat.ME]
generating hypotheses of dynamic causal graphs in neuroscience: leveraging generative factor models of observed time series Zachary C. Brown, David Carlson
[stat.AP,stat.ML]
generalized coarsened confounding for causal effects: a large-sample framework Debashis Ghosh, Lei Wang
[stat.ME,stat.AP,stat.ML,stat.TH]
filtrated grouping in multiple functional regression Shuhao Jiao, Hernando Ombao, Ian W. McKeague
[stat.ME,stat.CO]
dealing with separation problem in hidden markov models with covariates based on a penalized maximum likelihood approach Luca Brusa, Fulvia Pennoni, Francesco Bartolucci, Romina Peruilh Bagolini
[stat.ME]
dust: a duality-based pruning method for exact multiple change-point detection Vincent Runge, Charles Truong, Simon Querné
[stat.ME,stat.CO]
covariance scanning for adaptively optimal change point detection in high-dimensional linear models Haeran Cho, Housen Li
[stat.ME,stat.TH]
conformal prediction after data-dependent model selection Ruiting Liang, Wanrong Zhu, Rina Foygel Barber
[stat.ME]
causal representation learning with generative artificial intelligence: application to texts as treatments Kosuke Imai, Kentaro Nakamura
[stat.AP]
bacta-gpt: an ai-based bayesian adaptive clinical trial architect Krishna Padmanabhan, Danny Baker
[stat.AP,stat.OT]
a novel two-stage parameter estimation framework integrating approximate bayesian computation and machine learning: the abc-rf-rejection algorithm Renata Retkute, Christopher A. Gilligan
[stat.ME]
a variance decomposition approach to inconclusives in forensic black box studies Amanda Luby, Joseph B. Kadane
[stat.AP]
a model-consistent data-driven computational strategy for pde joint inversion problems Kui Ren, Lu Zhang
[stat.ME]