Active Inference
The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior-a theory that characte...
Active Inference
The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior--a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a 'first principles' approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for
Grammatical Inference
The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, co...
Causal Inference
An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences "e;Causation versus correlation has been the basis of arguments-economic and otherwise-since the beginning of time. Causal Infe...
Abductive Inference
Abductive Inference
Statistical Inference
Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a minimum. The approach is rigorous, but will be accessible to final year undergraduates. Classical approaches t...
Causal Inference
An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences ¿ "Causation versus correlation has been the basis of arguments-economic and otherwise-since the beginning of time. Causal Inferen...
Causal Inference
A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy. Which of two antiviral drugs does the most to save people infected with Ebola virus? Does a daily glass of wine pro...
Ecological Inference
Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and informatio...
Statistical Inference
This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that ...
Statistical Inference
In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study re...
Predictive Inference
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book d...
Statistical Inference
Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use a relatively small core of central ideas and methods. This book attempts to concent...
Ecological Inference
Explores the utility of techniques designed to make the inferences in causal modeling more reliable, including a comparison between ecological regression models and ecological correlation.
Bayesian Inference
This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Ba...
Statistical Inference
Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specification...
Scientific Inference
Originally published in 1931. The present work had its beginnings in a series of papers published jointly some years ago by Dr Dorothy Wrinch and myself. Both before and since that time several books purporting to give analyses of the principles o...
Scientific Inference
A scientific theory is originally based on a particular set of observations. How can it be extended to apply outside this original range of cases? This question, which is fundamental to natural philosophy, is considered in detail in this book, whi...
Scientific Inference
Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and un...
Statistical Inference
This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statisti...
Demystifying Causal Inference
This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience.
Error and Inference
Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the edito...
Constrained Statistical Inference
An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields ...
Inference from Signs
James Allen presents an original and penetrating investigation of the notion of inference from signs, which played a central role in ancient philosophical and scientific method. Inference from Signs examines an important chapter in ancient epistem...
Parametric Statistical Inference
Inference involves drawing conclusions about some general phenomenon from limited empirical observations in the face of random variability. Two central unifying components of statistics are the likelihood function and the exponential family. These...
Argument and Inference
Argument and Inference
Large-Scale Inference
We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doi...
Inference and Representation
The first comprehensive defense of an inferential conception of scientific representation with applications to art and epistemology. ¿ Mauricio Suárez develops a conception of representation that delivers a compelling account of modeling practice....
Species Tree Inference
An up-to-date reference book on phylogenetic methods and applications for evolutionary biologists The increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broad...
Species Tree Inference
An up-to-date reference book on phylogenetic methods and applications for evolutionary biologists The increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broad...
Essential Statistical Inference
This book is for students and researchers who have had a first year graduate level mathematical¿statistics course. ¿It covers classical likelihood, Bayesian, and permutation inference;¿an introduction to basic asymptotic distribution theory; and m...
Practical Bayesian Inference
Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It...
Essential Statistical Inference
This book is for students and researchers who have had a first year graduate level mathematical¿statistics course. ¿It covers classical likelihood, Bayesian, and permutation inference;¿an introduction to basic asymptotic distribution theory; and m...
The Design Inference
The design inference uncovers intelligent causes by isolating their key trademark: specified events of small probability. Just about anything that happens is highly improbable, but when a highly improbable event is also specified (i.e. conforms to...
Error and Inference
Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the edito...
Bayesian Statistical Inference
Statisticians now generally acknowledge the theorectical importance of Bayesian inference, if not its practical validity. According to Gudmund R. Iversen, one reason for the lag in applications is that empirical researchers have lacked a grounding...
Dynamic Acting through Active Analysis
In the 21st century, actors face radical changes in plays and performance styles, as they move from stage to screen and grapple with new technologies that present their art to ever-expanding audiences. Active Analysis offers the flexibility of mind, body, and spirit now urgently needed in acting. Dynamic Acting through Active Analysis brings to light this timely legacy, born during the worst era of Soviet repression and hidden for decades from public view. Part I unfolds like a mystery novel through letters, memoirs, and transcripts of Konstantin Stanislavsky’s last classes. Far from the authoritarian director of his youth, he reveals himself as a generous mentor, who empowers actors with a brand new collaborative approach to rehearsals. His assistant, Maria Knebel, first bears witness to his forward-looking ideas and then builds the bridge to new plays in new styles through her directing and influential teaching. Part II follows a 21st century company of diverse actors as they