| 000 | 02349nam a22003978i 4500 | ||
|---|---|---|---|
| 005 | 20250919090115.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 170308s2015||||enk o ||1 0|eng|d | ||
| 020 | _a9781139941433 (ebook) | ||
| 020 | _z9781107079199 (hardback) | ||
| 035 | _a(UkCbUP)CR9781139941433 | ||
| 039 | 9 |
_y03-08-2017 _zhafiz |
|
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 082 | 0 | 0 |
_a616.8001/1 _223 |
| 245 | 0 | 0 |
_aAdvanced State Space Methods for Neural and Clinical Data / _cedited by Zhe Chen. |
| 246 | 3 | _aAdvanced State Space Methods for Neural & Clinical Data | |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2015. |
|
| 300 |
_a1 online resource (394 pages) : _bdigital, PDF file(s). |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 07 Mar 2017). | ||
| 520 | _aThis 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 case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis. | ||
| 650 | 0 | _aModels, Statistical | |
| 650 | 0 | _aNeurology | |
| 650 | 0 | _aStochastic processes | |
| 700 | 1 |
_aChen, Zhe, _eeditor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9781107079199 |
| 856 | 4 | 0 | _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781139941433 |
| 907 |
_a.b1644078x _b2022-10-13 _c2019-11-12 |
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| 942 | _n0 | ||
| 914 | _avtls003618310 | ||
| 998 |
_anone _b2017-08-03 _cm _da _feng _genk _y0 _z.b1644078x |
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| 999 |
_c617294 _d617294 |
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