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Practical applications of sparse modeling
"Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and comput…
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- ISBN/ISSN
- 9780262325325
- Collation
- 1 online resource (xii, 249 pages).
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Nearest-neighbor methods in learning and vision :theory and practice
" ... held in Whistler, British Columbia ... annual conference on Neural Information Processing Systems (NIPS) in December 2003"--Preface.Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, ma…
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- ISBN/ISSN
- 9780262256957
- Collation
- 1 online resource (vi, 252 pages) :illustrations.
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Causation, Prediction, and Search (Second Edition)
The authors address the assumptions and methods that allow us to turn observations into causal knowledge, and use even incomplete causal knowledge in planning and prediction to influence and control our environment.What assumptions and methods allow us to turn observations into causal knowledge, and how can even incomplete causal knowledge be used in planning and prediction to influence and con…
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- ISBN/ISSN
- 9780262284158
- Collation
- 1 online resource (xx, 511 pages) :illustrations.
- Series Title
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Cellular Automata Machines: A New Environment for Modeling
Recently, cellular automata machines with the size, speed, and flexibility for general experimentation at a moderate cost have become available to the scientific community. These machines provide a laboratory in which the ideas presented in this book can be tested and applied to the synthesis of a great variety of systems. Computer scientists and researchers interested in modeling and simulatio…
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- ISBN/ISSN
- 9780262291019
- Collation
- 1 online resource (ix, 259 pages) :illustrations.
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Advances in minimum description length :theory and applications
A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology.The process of inductive inference--to infer general laws and principles from particular instances--is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (M…
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- ISBN/ISSN
- 9780262274463
- Collation
- 1 online resource (x, 444 pages) :illustrations.
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Causal inference
"Causality is central to the understanding and use of data; without an understanding of cause and effect relationships, we cannot use data to answer important questions in medicine and many other fields"--OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262373548
- Collation
- 1 online resource.
- Series Title
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- Call Number
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State-space models with regime switching :classical and Gibbs-sampling approa…
"Both state-space models and Markov-switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classical framework, approximates the likelihood function; the other, in the Bayesian framework, uses Gibbs-…
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- ISBN/ISSN
- 9780585087160
- Collation
- 1 online resource (xii, 297 pages) :illustrations
- Series Title
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- Call Number
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Stochastic Equations: Theory and Applications in Acoustics, Hydrodynamics, Ma…
In recent time, the interest of both theoreticians and experimenters has been attracted to the relation between the behavior of average statistical characteristics of a problem solution and the behavior of the solution in certain happenings (realizations). This is especially important for geophysical problems related to the atmosphere and ocean where, generally speaking, a respective averagi…
- Edition
- 3
- ISBN/ISSN
- 978-3-319-07590-7
- Collation
- -
- Series Title
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Meta-Analysis with R
This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: …
- Edition
- 1
- ISBN/ISSN
- 978-3-319-21415-3
- Collation
- XII, 252
- Series Title
- Use R!
- Call Number
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Elements of Probability and Statistics An Introduction to Probability with d…
This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers d…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-07254-8
- Collation
- 6 b/w illustrations, 27 illustrations in colour
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- -
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