endogenous function
Continuous-timeedgemodellingusingnon-parametric pointprocesses
However, existing ways of implementing the ME-HP for such data are either inflexible, as the exogenous (background) rate functions are typically constant and the endogenous (excitation) rate functions are specified parametrically, or inefficient, as inference usually relies on Markov chain Monte Carlo methods with high computational costs.
Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.87)
Continuous-time edge modelling using non-parametric point processes
However, existing ways of implementing the ME-HP for such data are either inflexible, as the exogenous (background) rate functions are typically constant and the endogenous (excitation) rate functions are specified parametrically, or inefficient, as inference usually relies on Markov chain Monte Carlo methods with high computational costs.
Country:
- Asia > China > Shanghai > Shanghai (0.04)
- Oceania > Australia > New South Wales (0.04)
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
- Asia > Middle East > Jordan (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)