Time Series Modeling of Neuroscience Data
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Art of Likelihood Maximization

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-17 ◽

2012 ◽

pp. 462-505

Inference Problem (b) for State Space Models

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-16 ◽

2012 ◽

pp. 424-461

Keyword(s):

State Space ◽

State Space Models ◽

Inference Problem

Likelihood of Dynamic Models

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-14 ◽

2012 ◽

pp. 296-357

Keyword(s):

Dynamic Models

Prediction and Doob Decomposition

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-11 ◽

2012 ◽

pp. 202-217

Keyword(s):

Doob Decomposition

Discrete-Time Dynamic Models

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-7 ◽

2012 ◽

pp. 56-91

Keyword(s):

Discrete Time ◽

Dynamic Models ◽

Time Dynamic

Inference Problem (a) for State Space Models

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-15 ◽

2012 ◽

pp. 358-423

Keyword(s):

State Space ◽

State Space Models ◽

Inference Problem

Continuous-Time Dynamic Models

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-9 ◽

2012 ◽

pp. 136-167

Keyword(s):

Continuous Time ◽

Dynamic Models ◽

Time Dynamic

Some More Models

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-10 ◽

2012 ◽

pp. 168-201

Multivariate Dynamic Models

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-8 ◽

2012 ◽

pp. 92-135

Keyword(s):

Dynamic Models

Time Series Prediction and the Power Spectrum

Time Series Modeling of Neuroscience Data ◽

10.1201/b11527-6 ◽

2012 ◽

pp. 42-55

Keyword(s):

Time Series ◽

Power Spectrum ◽

Time Series Prediction