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Author: David Joselit Publisher: MIT Press ISBN: 9780262600385 Category : Design Languages : en Pages : 276
Book Description
In Infinite Regress, David Joselit considers the plurality of identities and practices within Duchamp's life and art between 1910 and 1941, conducting a synthetic reading of his early and middle career. There is not one Marcel Duchamp, but several. Within his oeuvre Duchamp practiced a variety of modernist idioms and invented an array of contradictory personas: artist and art dealer, conceptualist and craftsman, chess champion and dreamer, dandy and recluse. In Infinite Regress, David Joselit considers the plurality of identities and practices within Duchamp's life and art between 1910 and 1941, conducting a synthetic reading of his early and middle career. Taking into account underacknowledged works and focusing on the conjunction of the machine and the commodity in Duchamp's art, Joselit notes a consistent opposition between the material world and various forms of measurement, inscription, and quantification. Challenging conventional accounts, he describes the readymade strategy not merely as a rejection of painting, but as a means of producing new models of the modern self.
Author: David Joselit Publisher: MIT Press ISBN: 9780262600385 Category : Design Languages : en Pages : 276
Book Description
In Infinite Regress, David Joselit considers the plurality of identities and practices within Duchamp's life and art between 1910 and 1941, conducting a synthetic reading of his early and middle career. There is not one Marcel Duchamp, but several. Within his oeuvre Duchamp practiced a variety of modernist idioms and invented an array of contradictory personas: artist and art dealer, conceptualist and craftsman, chess champion and dreamer, dandy and recluse. In Infinite Regress, David Joselit considers the plurality of identities and practices within Duchamp's life and art between 1910 and 1941, conducting a synthetic reading of his early and middle career. Taking into account underacknowledged works and focusing on the conjunction of the machine and the commodity in Duchamp's art, Joselit notes a consistent opposition between the material world and various forms of measurement, inscription, and quantification. Challenging conventional accounts, he describes the readymade strategy not merely as a rejection of painting, but as a means of producing new models of the modern self.
Author: Keith McNulty Publisher: CRC Press ISBN: 1000427897 Category : Business & Economics Languages : en Pages : 272
Book Description
Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features: 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) Clear step-by-step instructions on executing the analyses Clear guidance on how to interpret results Primary instruction in R but added sections for Python coders Discussion exercises and data exercises for each of the main chapters Final chapter of practice material and datasets ideal for class homework or project work.
Author: Heinrich Geiselberger Publisher: John Wiley & Sons ISBN: 1509522395 Category : Political Science Languages : en Pages : 220
Book Description
We are living through a period of dramatic political change – Brexit, the election of Trump, the rise of extreme right movements in Europe and elsewhere, the resurgence of nationalism and xenophobia and a concerted assault on the liberal values and ideals associated with cosmopolitanism and globalization. Suddenly we find ourselves in a world that few would have imagined possible just a few years ago, a world that seems to many to be a move backwards. How can we make sense of these dramatic developments and how should we respond to them? Are we witnessing a worldwide rejection of liberal democracy and its replacement by some kind of populist authoritarianism? This timely volume brings together some of the world's greatest minds to analyse and seek to understand the forces behind this 'great regression'. Writers from across disciplines and countries, including Paul Mason, Pankaj Mishra, Slavoj Zizek, Zygmunt Bauman, Arjun Appadurai, Wolfgang Streeck and Eva Illouz, grapple with our current predicament, framing it in a broader historical context, discussing possible future trajectories and considering ways that we might combat this reactionary turn. The Great Regression is a key intervention that will be of great value to all those concerned about recent developments and wondering how best to respond to this unprecedented challenge to the very core of liberal democracy and internationalism across the world today. For more information, see: www.thegreatregression.eu
Author: Frank E. Harrell Publisher: Springer Science & Business Media ISBN: 147573462X Category : Mathematics Languages : en Pages : 583
Book Description
Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Author: Andrew Gelman Publisher: Cambridge University Press ISBN: 9780521686891 Category : Mathematics Languages : en Pages : 654
Book Description
This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Author: Leona S. Aiken Publisher: SAGE ISBN: 9780761907121 Category : Business & Economics Languages : en Pages : 228
Book Description
This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.
Author: Andrew Gelman Publisher: Cambridge University Press ISBN: 110702398X Category : Business & Economics Languages : en Pages : 551
Book Description
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Author: Scott Aikin Publisher: Routledge ISBN: 1136841903 Category : Philosophy Languages : en Pages : 220
Book Description
In the last decade, the familiar problem of the regress of reasons has returned to prominent consideration in epistemology. And with the return of the problem, evaluation of the options available for its solution is begun anew. Reason’s regress problem, roughly put, is that if one has good reasons to believe something, one must have good reason to hold those reasons are good. And for those reasons, one must have further reasons to hold they are good, and so a regress of reasons looms. In this new study, Aikin presents a full case for infinitism as a response to the problem of the regress of reasons. Infinitism is the view that one must have a non-terminating chain of reasons in order to be justified. The most defensible form of infinitism, he argues, is that of a mixed theory – that is, epistemic infinitism must be consistent with and integrate other solutions to the regress problem.
Author: Claude Gratton Publisher: Springer Science & Business Media ISBN: 9048133416 Category : Philosophy Languages : en Pages : 219
Book Description
Infinite regress arguments are part of a philosopher's tool kit of argumentation. But how sharp or strong is this tool? How effectively is it used? The typical presentation of infinite regress arguments throughout history is so succinct and has so many gaps that it is often unclear how an infinite regress is derived, and why an infinite regress is logically problematic, and as a result, it is often difficult to evaluate infinite regress arguments. These consequences of our customary way of using this tool indicate that there is a need for a theory to re-orient our practice. My general approach to contribute to such a theory, consists of collecting and evaluating as many infinite regress arguments as possible, comparing and contrasting many of the formal and non-formal properties, looking for recurring patterns, and identifying the properties that appeared essential to those patterns. Two very general questions guided this work: (1) How are infinite regresses generated in infinite regress arguments? (2) How do infinite regresses logically function as premises in an argument? In answering these questions I clarify the notion of an infinite regress; identify different logical forms of infinite regresses; describe different kinds of infinite regress arguments; distinguish the rhetoric from the logic in infinite regress arguments; and suggest ways of improving our discussion and our practice of constructing and evaluating these arguments.
Author: David Joselit
Author: David Joselit
Author: Keith McNulty
Author: Heinrich Geiselberger
Author: Frank E. Harrell
Author: Eamon Ore-Giron
Author: Andrew Gelman
Author: Leona S. Aiken
Author: Andrew Gelman
Author: Scott Aikin
Author: Claude Gratton