Springer Statistics

Sharing news, books and journals from Springer editors on Statistical Sciences & use of quantitative methodology. #statistics

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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 https://t.co/PO7pCBOjkE

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➡️Published #OpenAccess in Metrika:
Minimality of a complete sufficient statistic
Gunnar Taraldsen
https://t.co/R7Xzi80mct

[Springer Statistics @SpringerStats]

👀Check out the June issue of Statistical Methods & Applications🚨
https://t.co/8cMPIvgQOd
Start reading this issue with the Review Paper on:
Global sensitivity analysis in random forests: unveiling generative variable importance
https://t.co/0Azw5xja31
@SIStatistica

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📢New publication alert from Statistical Methods & Applications📢
https://t.co/CRZcstxdLb
Start reading this issue here:
Quantifying the sustainability of cultural heritage in Italy
Carla Galluccio, Francesca Giambona & Laura Grassini
https://t.co/WBQheWpy6y
@SIStatistica

[Springer Statistics @SpringerStats]

➡️The long-run dynamics of economic liberty, 1850–2020
Leandro Prados de la Escosura
#OpenAccess article published in Cliometrica
https://t.co/S2lMEeQCU5

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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
https://t.co/5Mc1Cpwl8B
#SpringerNature #SharedIt

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🔓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
https://t.co/FwDrw41t7B

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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
https://t.co/FJJ82QSEfD
@PaulDMcNicholas

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🔓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
https://t.co/OYTDKAt4x5

[SpringerMath @SpringerMath]

⚡️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
https://t.co/leMJ8qwOeO

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🔓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
https://t.co/Mf69hYwI0c

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Metrika has just published its latest issue https://t.co/Eu8FBmLaW7
Start reading this issue with the #OpenAccess article:
Pgf-based goodness-of-fit tests for binomial counts
Christian H. Weiß
https://t.co/2pewBBw49e

[Springer Statistics @SpringerStats]

👉Published in Metrika:
Partially linear varying-coefficient quantile regression with truncated and missing data
Cui-Juan Kong, Han-Ying Liang & Yongmei Li
https://t.co/oBo68ozinL
provided by #SpringerNature #SharedIt

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🔓 You have full access to this #OpenAccess article from 🌟Journal of Classification🌟

Implications of Different Encodings of Binned Data when Clustering

Nathan Phelps

https://t.co/626Qs6e2UK

@PaulDMcNicholas

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🔓You have🆓access to this article from Statistical Papers via #SpringerNature #SharedIt:
Testing high dimensional diagonal symmetry
Yong Wang & Reza Modarres
https://t.co/1eAO9DF42t

[Information Geometry @SN_INGE]

✨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 🔗 https://t.co/YvEFSPFY6o
https://t.co/IxqxfpeMsX

[Information Geometry @SN_INGE]

✨Published in #informationgeometry: 21 March 2026

Franck Florin:
"Fisher–Rao distances between finite-energy signals in Gaussian noise"

#GSI25 #Fishermetric
Free view 🔗 https://t.co/3Gj73sYUUG
https://t.co/ubvS4tHT3F

[Springer Statistics @SpringerStats]

🚨ADAC has just published
the Special Issue on ‘New methodologies interconnecting Statistical Learning, Data Science, and Artificial Intelligence for high-quality and timely statistics’ https://t.co/dkB1kja4S6
Start reading this issue with the Editorial
https://t.co/SgeWyrMRDl

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🚨Statistical Papers🚨
Volume 67, Issue 3/2026 is now available online!
👀 Check out !
https://t.co/T3hQsOk8JT

[Springer Statistics @SpringerStats]

🚨Computational Statistics has just published its latest issue Volume 41, Issue 4. You’ll find the new articles here
https://t.co/egrViqosm3
Enjoy reading!