Stat Arxiv of Today - 27 Jun

we must re-evaluate assumptions about carbon trading for effective climate change mitigation Alyssa R. Pfadt-Trilling, Marie-Odile P. Fortier
[stat.AP]
triadic novelty: a typology and measurement framework for recognizing novel contributions in science Jin Ai, Richard S. Steinberg, Chao Guo, Filipi Nascimento Silva
[stat.AP]
tree-based variational inference for poisson log-normal models Alexandre Chaussard , Anna Bonnet , Elisabeth Gassiat , Sylvain Le Corff
[stat.ME,stat.ML]
transformer-based spatial-temporal counterfactual outcomes estimation He Li, Haoang Chi, Mingyu Liu, Wanrong Huang, Liyang Xu, Wenjing Yang
[stat.ME]
survival analysis under label shift Yuxiang Zong, Yanyuan Ma, Ingrid Van Keilegom
[stat.ME]
simultaneous estimation of the effective reproduction number and the time series of daily infections: application to covid-19 Hans R. Künsch, Fabio Sigrist
[stat.ME,stat.AP]
precise: privacy-loss-efficient and consistent inference based on posterior quantiles Ruyu Zhou, Fang Liu
[stat.ME]
orthogonality conditions for convex regression Sheng Dai, Timo Kuosmanen, Xun Zhou
[stat.ME]
on the robustness of semi-discrete optimal transport Davy Paindaveine, Riccardo Passeggeri
[stat.ME,stat.TH]
no-prior bayesian inference reimagined: probabilistic approximations of inferential models Ryan Martin
[stat.ME,stat.TH]
nonparametric bayesian analysis for the galton-watson process Massimo Cannas, Michele Guindani, Nicola Piras
[stat.ME,stat.CO]
new bounds for sparse variational gaussian processes Michalis K. Titsias
[stat.ME,stat.ML]
lower-dimensional posterior density and cluster summaries for overparameterized bayesian models Henrique Bolfarine, Hedibert F. Lopes, Carlos M. Carvalho
[stat.ME]
linear scaling causal discovery from high-dimensional time series by dynamical community detection Matteo Allione, Vittorio Del Tatto, Alessandro Laio
[stat.ME]
likelihood ratio tests in random graph models with increasing dimensions Ting Yan, Yuanzhang Li, Jinfeng Xu, Yaning Yang, Ji Zhu
[stat.ME,stat.TH]
leveraging relational evidence: population size estimation on tree-structured data with the weighted multiplier method Mallory J Flynn, Paul Gustafson
[stat.ME]
latent-space field tension for astrophysical component detection an application to x-ray imaging Matteo Guardiani, Vincent Eberle, Margret Westerkamp, Julian Rüstig, Philipp Frank, Torsten En{\ss}lin
[stat.AP,stat.ML]
l-2 regularized maximum likelihood for $\beta$-model in large and sparse networks Meijia Shao, Yu Zhang, Qiuping Wang, Yuan Zhang, Jing Luo, Ting Yan
[stat.ME,stat.TH]
is checking for sequential positivity violations getting you down? try sport! Arthur Chatton, Michael Schomaker, Miguel-Angel Luque-Fernandez, Robert W. Platt, Mireille E. Schnitzer
[stat.ME]
genetic algorithm with innovative chromosome patterns in the breeding process Qingchuan Lyu
[stat.CO]
gender disparities in rehospitalisations after coronary artery bypass grafting: evidence from a sparse functional causal mediation analysis of the mimic-iv data Henan Xu, Yeying Zhu, Donna L. Coffman
[stat.AP,stat.ME]
gaussian invariant markov chain monte carlo Michalis K. Titsias, Angelos Alexopoulos, Siran Liu, Petros Dellaportas
[stat.ML,stat.ME]
forecasting geopolitical events with a sparse temporal fusion transformer and gaussian process hybrid: a case study in middle eastern and u.s. conflict dynamics Hsin-Hsiung Huang, Hayden Hampton
[stat.ML,stat.AP,stat.CO]
flexible and efficient estimation of causal effects with error-prone exposures: a control variates approach for measurement error Keith Barnatchez, Rachel Nethery, Bryan E. Shepherd, Giovanni Parmigiani, Kevin P. Josey
[stat.ME]
evaluating randomness assumption: a novel graph theoretic approach Shriya Gehlot, Arnab Kumar Laha
[stat.ME]
estimating the number of opioid overdoses in british columbia using relational evidence with tree structure Mallory J Flynn, Paul Gustafson, Michael A. Irvine
[stat.AP]
efficacy of temporal fusion transformers for runoff simulation Sinan Rasiya Koya, Tirthankar Roy
[stat.AP]
easily computed marginal likelihoods for multivariate mixture models using the thames estimator Martin Metodiev, Nicholas J. Irons, Marie Perrot-Dockès, Pierre Latouche, Adrian E. Raftery
[stat.ME]
disentangling network dependence among multiple variables Zhejia Dong, Corwin Zigler, Youjin Lee
[stat.ME]
cluster-randomized trials with cross-cluster interference Michael P. Leung
[stat.ME]
club exco: clustering brain extreme communities from multi-channel eeg data Matheus B. Guerrero, Paolo V. Redondo, Marco A. Pinto-Orellana, Beth A. Lopour, Hernando Ombao, Raphaël Huser
[stat.ME,stat.AP]
bayesian modeling for aggregated relational data: a unified perspective Owen G. Ward, Anna L. Smith, Tian Zheng
[stat.ME,stat.AP]
autowmm and jagstree -- r packages for population size estimation on relational tree-structured data Mallory J Flynn, Paul Gustafson
[stat.CO]
an introduction to causal modelling Gauranga Kumar Baishya
[stat.ME,stat.ML,stat.TH]
analytic inference with two-way clustering Laurent Davezies, Xavier D'Haultf{\oe}uille, Yannick Guyonvarch
[stat.ME]
a scalable bayesian spatiotemporal model for water level predictions using a nearest neighbor gaussian process approach Victor Hugo Nagahama, James Sweeney, Niamh Cahill
[stat.AP]
a bayesian nonparametric approach for semi-competing risks with application to cardiovascular health Karina Gelis-Cadena, Michael Daniels, Juned Siddique
[stat.ME,stat.AP]