Pages that link to "Item:Q1091726"
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The following pages link to Maximum likelihood estimations in a nonlinear self-exciting point process model (Q1091726):
Displaying 12 items.
- Accelerating the estimation of renewal Hawkes self-exciting point processes (Q109685) (← links)
- Maximum likelihood analysis of spike trains of interacting nerve cells (Q1104265) (← links)
- System identification based on point processes and correlation densities. II. The refractory neuron model (Q1111957) (← links)
- Maximum likelihood identification of neural point process systems (Q1111960) (← links)
- Minimum mean square error estimation of connectivity in biological neural networks (Q1179398) (← links)
- Modeling neuronal firing in epilepsy: fitting Hawkes processes to single-unit activity (Q1982741) (← links)
- Maximum likelihood estimation for Hawkes processes with self-excitation or inhibition (Q2244537) (← links)
- Closed-form likelihood estimation for one type of affine point processes (Q2830794) (← links)
- Estimating a State-Space Model from Point Process Observations: A Note on Convergence (Q3583486) (← links)
- Partial self-exciting point processes and their parameter estimations (Q5087967) (← links)
- Inference for a Nonstationary Self-Exciting Point Process with an Application in Ultra-High Frequency Financial Data Modeling (Q5407023) (← links)
- Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity (Q5706655) (← links)
