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Advanced State Space Methods for Neural and Clinical Data
Edited By Zhe Chen
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Description for Advanced State Space Methods for Neural and Clinical Data
hardcover. An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data. Editor(s): Chen, Zhe. Num Pages: 394 pages, 93 b/w illus. 15 tables. BIC Classification: MBNS; PBW. Category: (U) Tertiary Education (US: College). Dimension: 247 x 174 x 23. Weight in Grams: 930.
This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world ... Read more
This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world ... Read more
Product Details
Format
Hardback
Publication date
2015
Publisher
Cambridge University Press
Condition
New
Number of Pages
394
Place of Publication
Cambridge, United Kingdom
ISBN
9781107079199
SKU
V9781107079199
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-10
About Edited By Zhe Chen
Zhe Chen is Assistant Professor at the New York University School of Medicine, having previously worked at the RIKEN Brain Science Institute, Harvard Medical School, and Massachusetts Institute of Technology. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and an editorial board member of Neural Networks. Professor Chen has received a number of awards, ... Read more
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