Showing results for "jan gorecki"
Showing 1 - 2 of 2 Results
Adult content is visible.
2024
EN
Accessible
This book offers a thorough understanding of Hierarchical Archimedean Copulas (HACs) and their practical applications. It covers the basics of copulas, explores the Archimedean family, and delves into the specifics of HACs, including their fundamental properties. The text also addresses sampling algorithms, HAC parameter estimation, and structure, and highlights temporal models with applications in finance and economics. The final chapter introduces R, MATLAB, and Octave toolboxes for copu...
Justifying Ethics
Human Rights and Human Nature
2017
EN
"Human rights include individual rights against government oppression, such as the right to freedom of thought, religion, speech, assembly, and to a fair system of criminal justice. But even in this basic political sense, ""human rights"" means different things in different historical and cultural contexts and advocacy of such rights has frequently been viewed as subjective. Justifying Ethics offers a thorough critique of the most common attempts to formulate objective standards through ap...
People who read this also enjoyed
System Identification
Theory for the User
1998
EN
The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-f...
2015
EN
How propaganda undermines democracy and why we need to pay attentionOur democracy today is fraught with political campaigns, lobbyists, liberal media, and Fox News commentators, all using language to influence the way we think and reason about public issues. Even so, many of us believe that propaganda and manipulation aren't problems for us—not in the way they were for the totalitarian societies of the mid-twentieth century. In How Propaganda Works, Jason ...
The Idea of the Public Sphere
A Reader
2010
EN
The notion of "the public sphere" has become increasingly central to theories and studies of democracy, media, and culture over the last few decades. It has also gained political importance in the context of the European Union's efforts to strengthen democracy, integration, and identity.The Idea of the Public Sphere offers a wide-ranging, accessible, and easy-to-use introduction to one of the most influential ideas in modern social and political thought, tracing its develop...
2008
EN
This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent de...
- Series -
- BIG IDEAS//small books
2008
EN
Moral relativism attracts and repels. What is defensible in it and what is to be rejected? Do we as human beings have no shared standards by which we can understand one another? Can we abstain from judging one another's practices? Do we truly have divergent views about what constitutes good and evil, virtue and vice, harm and welfare, dignity and humiliation, or is there some underlying commonality that trumps it all?These questions turn up everywhere, from Montaigne's essay on can...
Hidden Markov Models for Time Series
An Introduction Using R, Second Edition
2017
EN
Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors des...
Secular Philosophy and the Religious Temperament
Essays 2002-2008
2009
EN
This volume collects recent essays and reviews by Thomas Nagel in three subject areas. The first section, including the title essay, is concerned with religious belief and some of the philosophical questions connected with it, such as the relation between religion and evolutionary theory, the question of why there is something rather than nothing, and the significance for human life of our place in the cosmos. It includes a defense of the relevance of religion to science education. The sec...
Statistical Analysis Techniques in Particle Physics
Fits, Density Estimation and Supervised Learning
2013
EN
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
Authoritarianism
Three Inquiries in Critical Theory
- Series -
- TRIOS
2018
EN
Three distinguished scholars draw on critical theory to address the causes and circumstances behind the rise of autocracies and oligarchies.Across the Euro-Atlantic world, political leaders have been mobilizing their bases with nativism, racism, xenophobia, and paeans to "traditional values," in brazen bids for electoral support. How are we to understand this move to the mainstream of political policies and platforms that lurked only on the far fringes through most ...
In All Likelihood
Statistical Modelling and Inference Using Likelihood
2013
EN
Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. Examples range from a simile ...











