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Sharing news, books and journals from Springer editors on Statistical Sciences & use of quantitative methodology. #statistics springer.com/statistics?SGW… New York City/Heidelberg Joined October 2012-
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🔓You have🆓access to this article from Statistical Papers via #SpringerNature #SharedIt: Calibrated empirical likelihood for single-index varying coefficient spatial autoregressive models P. Zhao, X. Liu, X. Tang, S. Cheng & X. Zhou rdcu.be/fcxCC
➡️Published #OpenAccess in Metrika: Minimality of a complete sufficient statistic Gunnar Taraldsen doi.org/10.1007/s00184…
👀Check out the June issue of Statistical Methods & Applications🚨 link.springer.com/journal/10260/… Start reading this issue with the Review Paper on: Global sensitivity analysis in random forests: unveiling generative variable importance doi.org/10.1007/s10260… @SIStatistica
📢New publication alert from Statistical Methods & Applications📢 link.springer.com/journal/10260/… Start reading this issue here: Quantifying the sustainability of cultural heritage in Italy Carla Galluccio, Francesca Giambona & Laura Grassini link.springer.com/article/10.100… @SIStatistica
➡️The long-run dynamics of economic liberty, 1850–2020 Leandro Prados de la Escosura #OpenAccess article published in Cliometrica doi.org/10.1007/s11698…
Read this article published in Advances in Data Analysis and Classification for🆓: Classification of multivariate count data with multivariate log-linear conditional Poisson distribution Juan M. Muñoz-Pichardo & Rafael Pino-Mejías rdcu.be/felCn #SpringerNature #SharedIt
🔓You have🆓access to this article from Statistical Papers via #SpringerNature #SharedIt: Stochastic copula modelling of multivariate Johnson’s Systems of Distribution Ajibola Taiwo Sóyínká, Akin Adeseye Olósundé & Atinuke Olusola Adébánjí rdcu.be/fcxCi
You have🆓access to this article from 🌟Journal of Classification🌟provided by #SpringerNature #SharedIt ➡️Classification Rules for Axial Data: Parametric and Nonparametric Approaches Santanu Dey & Nabakumar Jana rdcu.be/e9IEK @PaulDMcNicholas
🔓Metrika: You have🆓access to this article provided by #SpringerNature #SharedIt: Robust group inference for ultrahigh-dimensional linear regression models Haochen Rao, Xinyue Chen, Weichao Yang & Xu Guo rdcu.be/fcxEI
⚡️Today!⚡️ Webinar 💻 "Handling Time-Dependent Variability in Sampling Theory" presented by Dr Prayas Sharma @BbauSocialmedia 🗓️ 5th May 2026 ⏲️8AM (Vancouver) / 11AM (NY) / 5PM (Paris) / 8:30 PM (8:30 PM) #JournalofStatisticalTheoryandPractice cassyni.com/events/AKpuU2m…
🔓You have full access to this #OpenAccess article in Advances in Data Analysis and Classification: ➡️Calibrated kNN classification via second-layer neighborhood analysis Bastian Pfeifer & Markus Kreuzthaler doi.org/10.1007/s11634…
Metrika has just published its latest issue link.springer.com/journal/184/vo… Start reading this issue with the #OpenAccess article: Pgf-based goodness-of-fit tests for binomial counts Christian H. Weiß doi.org/10.1007/s00184…
👉Published in Metrika: Partially linear varying-coefficient quantile regression with truncated and missing data Cui-Juan Kong, Han-Ying Liang & Yongmei Li rdcu.be/fcxDP provided by #SpringerNature #SharedIt
🔓 You have full access to this #OpenAccess article from 🌟Journal of Classification🌟 Implications of Different Encodings of Binned Data when Clustering Nathan Phelps doi.org/10.1007/s00357… @PaulDMcNicholas
🔓You have🆓access to this article from Statistical Papers via #SpringerNature #SharedIt: Testing high dimensional diagonal symmetry Yong Wang & Reza Modarres rdcu.be/fcxBR
✨Published in #informationgeometry: 21 March 2026 Koichi Nakagawa #HoshiUniversity: Metric-dependent transients in non-Markovian relaxation: Kullback–Leibler vs entropic optimal transport #Entropyovershoot #中川弘一 Free view 🔗 rdcu.be/ffA0W link.springer.com/article/10.100…
✨Published in #informationgeometry: 21 March 2026 Franck Florin: "Fisher–Rao distances between finite-energy signals in Gaussian noise" #GSI25 #Fishermetric Free view 🔗 rdcu.be/ffASK link.springer.com/article/10.100…
🚨ADAC has just published the Special Issue on ‘New methodologies interconnecting Statistical Learning, Data Science, and Artificial Intelligence for high-quality and timely statistics’ link.springer.com/journal/11634/… Start reading this issue with the Editorial doi.org/10.1007/s11634…
🚨Statistical Papers🚨 Volume 67, Issue 3/2026 is now available online! 👀 Check out ! link.springer.com/journal/362/vo…
🚨Computational Statistics has just published its latest issue Volume 41, Issue 4. You’ll find the new articles here link.springer.com/journal/180/vo… Enjoy reading!
Springer Nature @SpringerNature
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