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Algebraic generality versus arithmetic generality in the 1874 controversy between C. Jordan and L. Kronecker  

Frédéric Brechenmacher

Published in print:
Jul 2016
Published Online:
Jul 2017
This article revisits the 1874 controversy between Camille Jordan and Leopold Kronecker over two theorems, namely Jordan’s canonical forms and Karl Weierstrass’s elementary divisors ... More

Algebraic geometry and matrix models  

Leonid Chekhov

Published in print:
Sep 2015
Published Online:
Aug 2018
This article discusses the connection between the matrix models and algebraic geometry. In particular, it considers three specific applications of matrix models to algebraic geometry, ... More

Alternative cosmological theories  

Helge Kragh

Published in print:
Mar 2019
Published Online:
Apr 2019
Since about 1970 the broadly accepted theory of the universe has been the standard hot big-bang model. However, there is and has always been alternative theories which challenge one or ... More

Analysis of economic data with multiscale spatio-temporal models  

Hedibert Lopes and Nicholas Polson

Published in print:
Oct 2013
Published Online:
Aug 2018
This article discusses the use of Bayesian multiscale spatio-temporal models for the analysis of economic data. It demonstrates the utility of a general modelling approach for multiscale ... More

Andreev Reflection and Related Studies in Low-Dimensional Superconducting Systems  

D. Daghero, G.A. Ummarino, and R.S. Gonnelli

Published in print:
Jan 2017
Published Online:
Jul 2017
This article investigates the potential of the point contact Andreev reflection spectroscopy (PCARS) technique for measuring the symmetry of the energy gap and other key parameters of ... More

Antarctic Climate History and Global Climate Changes  

Pontus Lurcock and Fabio Florindo

Antarctic climate changes have been reconstructed from ice and sediment cores and numerical models (which also predict future changes). Major ice sheets first appeared 34 million years ago ... More

Asian Foods  

M.J. Rob Nout, Bei-Zhong Han, and Cherl-Ho Lee

Published in print:
Sep 2014
Published Online:
Jul 2018
This article discusses the fermentation process for Asian foods, with particular emphasis on fermented food products made from major primary produce such as soybeans, cereals, and meat. A ... More

Assessing the probability of rare climate events  

James S. Clark, Dave Bell, Michael Dietze, Michelle Hersh, Ines Ibanez, Shannon LaDeau, Sean McMahon, Jessica Metcalf, Emily Moran, Luke Pangle, and Mike Wolosin

Published in print:
Oct 2013
Published Online:
Aug 2018
This article focuses on the use of Bayesian methods in assessing the probability of rare climate events, and more specifically the potential collapse of the meridional overturning ... More

Assessing Volcanic Hazard: A Review  

Joan Martí Molist

Published Online:
Sep 2017
Volcanoes represent complex geological systems capable of generating many dangerous phenomena. To evaluate and manage volcanic risk, we need first to assess volcanic hazard (i.e., identify ... More

Asymptotic singular value distributions in information theory  

Antonia Tulino and Sergio Verdu

Published in print:
Sep 2015
Published Online:
Aug 2018
This article examines asymptotic singular value distributions in information theory, with particular emphasis on some of the main applications of random matrices to the capacity of ... More

Atomistic spin-dynamics  

M. Stamenova and S. Sanvito

Published in print:
Feb 2010
Published Online:
Jul 2017
This article reviews recent advances towards the development of a truly atomistic time-dependent theory for spin-dynamics. The focus is on the s-d tight-binding model [where conduction ... More

Barriers in Josephson Junctions: An Overview  

M.P. Weides

Published in print:
Jan 2017
Published Online:
Jul 2017
This article considers Josephson junction barriers, focusing on barriers made from insulators, metals, semiconductors, magnets, and nanowires. The main characteristic of Josephson ... More

Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments  

Antonio Pievatolo and Fabrizio Ruggeri

Published in print:
Oct 2013
Published Online:
Aug 2018
This article discusses the results of a Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments. Using the Gullfaks oil and gas reservoir located in ... More

Bayesian analysis and decisions in nuclear power plant maintenance  

Jonathan A. Cumming and Michael Goldstein

Published in print:
Oct 2013
Published Online:
Aug 2018
This article discusses the results of a study in Bayesian analysis and decision making in the maintenance and reliability of nuclear power plants. It demonstrates the use of Bayesian ... More

Bayesian analysis in item response theory applied to a large-scale educational assessment  

Dani Gamerman, Tufi M. Soares, and Flávio Gonçalves

Published in print:
Oct 2013
Published Online:
Aug 2018
This article discusses the use of a Bayesian model that incorporates differential item functioning (DIF) in analysing whether cultural differences may affect the performance of students ... More

Bayesian approaches to aspects of the Vioxx trials: Non-ignorable dropout and sequential meta-analysis  

Jerry Cheng and David Madigan

Published in print:
Oct 2013
Published Online:
Aug 2018
This article discusses Bayesian approaches to aspects of the Vioxx trials study, with a focus on non-ignorable dropout and sequential meta-analysis. It first provides a background on ... More

Bayesian approaches to aspects of the Vioxx trials: Non-ignorable dropout and sequential meta-analysis  

Jerry Cheng and David Madigan

Published in print:
Oct 2013
Published Online:
Aug 2018
This article discusses Bayesian approaches to aspects of the Vioxx trials study, with a focus on non-ignorable dropout and sequential meta-analysis. It first provides a background on ... More

Bayesian causal inference: Approaches to estimating the effect of treating hospital type on cancer survival in Sweden using principal stratification  

Donald Rubin, Xiaoqin Wang, Li Yin, and Elizabeth Zell

Published in print:
Oct 2013
Published Online:
Aug 2018
This article discusses the use of Bayesian causal inference, and more specifically the posterior predictive approach of Rubin’s causal model (RCM) and methods of principal stratification, ... More

Bayesian modelling for matching and alignment of biomolecules  

Peter J. Green, Kanti V. Mardia, Vysaul B. Nyirongo, and Yann Ruffieux

Published in print:
Oct 2013
Published Online:
Aug 2018
This article describes Bayesian modelling for matching and alignment of biomolecules. One particular task where statistical modelling and inference can be useful in scientific ... More

Bayesian modelling for matching and alignment of biomolecules  

Peter Green, Kanti Mardia, Vysaul Nyirongo, and Yann Ruffieux

Published in print:
Oct 2013
Published Online:
Aug 2018
This article describes Bayesian modelling for matching and alignment of biomolecules. One particular task where statistical modelling and inference can be useful in scientific ... More

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