Xiaofeng Wang – författare

INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (MCMC), the standard tool for Bayesian inference.

Bayesian Regression Modeling with INLA covers a wide range of modern regression models and focuses on the INLA technique for building Bayesian models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to demonstrate the interplay of theory and practice with reproducible studies. Complete R commands are provided for each example, and a supporting website holds all of the data described in the book. An R package including the data and additional functions in the book is available to download.

The book is aimed at readers who have a basic knowledge of statistical theory and Bayesian methodology. It gets readers up to date on the latest in Bayesian inference using INLA and prepares them for sophisticated, real-world work.

Xiaofeng Wang is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic.

Yu Ryan Yue is Associate Professor of Statistics in the Paul H. Chook Department of Information Systems and Statistics at Baruch College, The City University of New York.

Julian J. Faraway is Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.

INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models. No samples of the posterior marginal distributions need to be drawn using INLA, so it is a computationally convenient alternative to Markov chain Monte Carlo (MCMC), the standard tool for Bayesian inference.

Bayesian Regression Modeling with INLA covers a wide range of modern regression models and focuses on the INLA technique for building Bayesian models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to demonstrate the interplay of theory and practice with reproducible studies. Complete R commands are provided for each example, and a supporting website holds all of the data described in the book. An R package including the data and additional functions in the book is available to download.

The book is aimed at readers who have a basic knowledge of statistical theory and Bayesian methodology. It gets readers up to date on the latest in Bayesian inference using INLA and prepares them for sophisticated, real-world work.

Xiaofeng Wang is Professor of Medicine and Biostatistics at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and a Full Staff in the Department of Quantitative Health Sciences at Cleveland Clinic.

Yu Ryan Yue is Associate Professor of Statistics in the Paul H. Chook Department of Information Systems and Statistics at Baruch College, The City University of New York.

Julian J. Faraway is Professor of Statistics in the Department of Mathematical Sciences at the University of Bath.

This book constitutes the refereed proceedings of the 12th International Conference on Software Business, ICSOB 2021, which was held during December 2-3, 2021. The conference was originally planned to take place in Drammen, Norway, but changed to an online format due to the COVID-19 pandemic. The special theme of ICSOB 2021 was software sustainability.

The 13 full papers and 5 short papers presented were carefully reviewed and selected from 39 submissions. They deal with a range of topics including software sustainability, Agile development, DevOps, software startups, prototyping, software ecosystems, crowdsourcing platforms, technical debts, and risk management.

This book constitutes the refereed proceedings of the 13th International Conference on Software Business, ICSOB 2022, which was held during November 8-11, 2022 in Bolzano, Italy. The special theme of ICSOB 2022 was “Software for Digital Transformation”.

The 19 full papers together with 6 short papers presented were carefully reviewed and selected from 53 submissions. The conference is covering different aspects of Digital Transformation, Software Startups, Software Ecosystems, Software Processes, Platform Economy, Software Sustainability, and People and Process Analytics.

The LNCS two-volume set 13905 and LNCS 13906 constitutes the refereed proceedings of the 21st International Conference on Applied Cryptography and Network Security, ACNS 2023, held in Tokyo, Japan, during June 19-22, 2023.

The 53 full papers included in these proceedings were carefully reviewed and selected from a total of 263 submissions. They are organized in topical sections as follows:

Part II: embedded security; privacy-preserving protocols; isogeny-based cryptography; encryption; advanced primitives; multiparty computation; and Blockchain.

The LNCS two-volume set 13905 and LNCS 13906 constitutes the refereed proceedings of the 21st International Conference on Applied Cryptography and Network Security, ACNS 2023, held in Tokyo, Japan, during June 19-22, 2023.

The 53 full papers included in these proceedings were carefully reviewed and selected from a total of 263 submissions. They are organized in topical sections as follows:

Part II: embedded security; privacy-preserving protocols; isogeny-based cryptography; encryption; advanced primitives; multiparty computation; and Blockchain.

Thisvolume constitutes the thoroughly refereed post-conference proceedings of the11th International Conference on Security and Privacy in CommunicationNetworks, SecureComm 2015, held in Dallas, TX, USA, in October 2015.

The 29 regular and 10 poster papers presented were carefullyreviewed and selected from 107 submissions. It also presents 9 papers acceptedof the workshop on Applications and Techniques in Cyber Security, ATCS 2015.

The papers are grouped in the following topics: mobile, system,and software security; cloud security; privacy and side channels; Web andnetwork security; crypto, protocol, and model.

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Information Security and Cryptology, Inscrypt 2015, held in Beijing, China in November 2015.

The 27 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on hash function; signature schemes; symmetric ciphers; elliptic curve and cryptographic fundamentals; Web and applications security; cloud security; key management and public key encryption; zero knowledge and secure computations; software and mobile security.