Statistics & Probability Letters

1982 - 2025

Current editor(s): Somnath Datta and Hira L. Koul

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Volume 136, issue C, 2018

Statistics in the big data era: Failures of the machine pp. 4-9

David B. Dunson

On the role of statistics in the era of big data: A call for a debate pp. 10-14

Piercesare Secchi

Data learning from big data pp. 15-19

José L. Torrecilla and Juan Romo

The role of Statistics in the era of big data: Crucial, critical and under-valued pp. 20-24

E. Marian Scott

A practical guide to big data pp. 25-29

Ekaterina Smirnova, Andrada Ivanescu, Jiawei Bai and Ciprian M. Crainiceanu

Big data and biostatistics: The death of the asymptotic Valhalla pp. 30-33

Ernst C. Wit

Big questions, informative data, excellent science pp. 34-36

Adrian W. Bowman

Statistics for big data: A perspective pp. 37-41

Peter Bühlmann and Sara van de Geer

Statistical science in the world of big data pp. 42-45

Nancy Reid

The future of statistics and data science pp. 46-50

Sofia C. Olhede and Patrick J. Wolfe

Conducting highly principled data science: A statistician’s job and joy pp. 51-57

Xiao-Li Meng

The role of statistics in data-centric engineering pp. 58-62

F. Din-Houn Lau, Niall M. Adams, Mark A. Girolami, Liam J. Butler and Mohammed Z.E.B. Elshafie

The role of statistics in the era of big data: A computational scientist’ perspective pp. 63-67

Alfio Quarteroni

On the role of statistics in the era of big data: A computer science perspective pp. 68-72

Stefano Ceri

Big data and a bewildered lay analyst pp. 73-77

Limsoon Wong

Statistical challenges of big brain network data pp. 78-82

Moo K. Chung

Statistical methods and challenges in connectome genetics pp. 83-86

Dustin Pluta, Zhaoxia Yu, Tong Shen, Chuansheng Chen, Gui Xue and Hernando Ombao

Big data sampling and spatial analysis: “which of the two ladles, of fig-wood or gold, is appropriate to the soup and the pot?” pp. 87-91

Roger Bivand and Konstantin Krivoruchko

Principles for statistical inference on big spatio-temporal data from climate models pp. 92-96

Stefano Castruccio and Marc G. Genton

Statistical issues in radiosonde observation of atmospheric temperature and humidity profiles pp. 97-100

A. Fassò, F. Finazzi and F. Madonna

Quality of life, big data and the power of statistics pp. 101-104

Shivam Gupta, Jorge Mateu, Auriol Degbelo and Edzer Pebesma

The role of statistics in the era of big data: Electronic health records for healthcare research pp. 105-110

Linda D. Sharples

Big data: Some statistical issues pp. 111-115

D.R. Cox, Christiana Kartsonaki and Ruth H. Keogh

Big data and public policies: Opportunities and challenges pp. 116-120

Giovanni Azzone

Journeys in big data statistics pp. 121-125

Ian L. Dryden and David J. Hodge

Statistical modeling of spatial big data: An approach from a functional data analysis perspective pp. 126-129

Ramón Giraldo, Sophie Dabo-Niang and Sergio Martínez

How do statisticians analyse big data—Our story pp. 130-133

Jian Qing Shi

On dimension reduction models for functional data pp. 134-138

Philippe Vieu

Wishing the Non-parametric Re-evolution pp. 139-141

Simone Vantini

When small data beats big data pp. 142-145

Julian J. Faraway and Nicole H. Augustin

Statisticians can do better in the big data era pp. 146-147

Jiguo Cao

Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains pp. 148-154

Joris Bierkens, Alexandre Bouchard-Côté, Arnaud Doucet, Andrew B. Duncan, Paul Fearnhead, Thibaut Lienart, Gareth Roberts and Sebastian J. Vollmer

Statistics within business in the era of big data pp. 155-159

Gareth M. James

Financial data science pp. 160-164

Paolo Giudici

On the role of latent variable models in the era of big data pp. 165-169

Francesco Bartolucci, Silvia Bacci and Antonietta Mira

Volume 135, issue C, 2018

Tail bounds for sums of geometric and exponential variables pp. 1-6

Svante Janson

A note on gaps in proofs of central limit theorems pp. 7-10

Christophe Ange Napoléon Biscio, Arnaud Poinas and Rasmus Waagepetersen

Some results on joint record events pp. 11-19

M. Falk, A. Khorrami Chokami and S.A. Padoan

Screening group variables in the proportional hazards model pp. 20-25

Kwang Woo Ahn, Natasha Sahr and Soyoung Kim

Simultaneous demonstration tests involving sparse failures pp. 26-31

Amos E. Gera

Integrability conditions for compound random measures pp. 32-37

Alan Riva Palacio and Fabrizio Leisen

The characterization of tenable Pólya urns pp. 38-43

Allison Davidson and Mark D. Ward

Strong local nondeterminism of spherical fractional Brownian motion pp. 44-50

Xiaohong Lan and Yimin Xiao

Recurrence property and pointwise convergence of martingales pp. 51-53

Ricardo Bórquez

Higher order expansions for error variance matrix estimates in the Gaussian AR(1) linear regression model pp. 54-59

Yiannis Karavias, Spyridon D. Symeonides and Elias Tzavalis

Sieves estimator of functional autoregressive process pp. 60-69

Kamila Berhoune and Nawel Bensmain

Modulo 1 limit theorems for autoregressive random variables and their sums pp. 70-75

Bruno Massé

On Stein’s unbiased risk estimate for reduced rank estimators pp. 76-82

Niels Richard Hansen

Mutual intersection for rough differential systems driven by fractional Brownian motions pp. 83-91

Cheng Ouyang, Yinghui Shi and Dongsheng Wu

American options under periodic exercise opportunities pp. 92-101

José-Luis Pérez and Kazutoshi Yamazaki

Feasible blocked multi-factor designs of unequal block sizes pp. 102-109

Xiaodi Wang, Xueping Chen and Yingshan Zhang

Optimal allocation of active redundancies in weighted k-out-of-n systems pp. 110-117

Yiying Zhang

Constrained Cramér–Rao Lower Bound in Errors-In Variables (EIV) models: Revisited pp. 118-126

A. Al-Sharadqah and K.C. Ho

A note on the monotone stochastic order for processes with independent increments pp. 127-131

David Criens

Excessive measures for linear diffusions pp. 132-139

Yuncong Shen and Jiangang Ying