Tobias Roth – författare

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data.Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions-including all R codes-that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types.

Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest Written in a step-by-step approach that allows for eased understanding by non-statisticians Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data All example data as well as additional functions are provided in the R-package blmeco

‘Rewriting’ is one of the most crucial but at the same time one of the most elusive concepts of literary scholarship. In order to contribute to a further reassessment of such a notion, this volume investigates a wide range of medieval and early modern literary transformations, especially focusing on texts (and contexts) of Italian and French Renaissance literature. The first section of the book, "Rewriting", gathers essays which examine medieval and early modern rewritings while also pointing out the theoretical implications raised by such texts. The second part, "Rewritings in Early Modern Literature", collects contributions which account for different practices of rewriting in the Italian and French Renaissance, for instance by analysing dynamics of repetition and duplication, verbatim reproduction and free reworking, textual production and authorial self-fashioning, alterity and identity, replication and multiplication. The volume strives at shedding light on the complexity of the relationship between early modern and ancient literature, perfectly summed up in the motto written by Pietro Aretino in a letter to his friend the painter Giulio Romano in 1542: "Essere modernamente antichi e anticamente moderni".