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Full-Text Articles in Physical Sciences and Mathematics
Prediction: The Quintessential Model Validation Test, Wayne Wakeland
Prediction: The Quintessential Model Validation Test, Wayne Wakeland
Systems Science Friday Noon Seminar Series
It is essential to objectively test how well policy models predict real world behavior. The method used to support this assertion involves the review of three SD policy models emphasizing the degree to which the model was able to fit the historical outcome data and how well model-predicted outcomes matched real world outcomes as they unfolded. Findings indicate that while historical model agreement is a favorable indication of model validity, the act of making predictions without knowing the actual data, and comparing these predictions to actual data, can reveal model weaknesses that might be overlooked when all of the available …
The Subject Librarian Newsletter, Statistics, Fall 2015, Patti Mccall
The Subject Librarian Newsletter, Statistics, Fall 2015, Patti Mccall
Libraries' Newsletters
No abstract provided.
Realistic Spiking Neuron Statistics In A Population Are Described By A Single Parametric Distribution, Lauren Crow 9370373
Realistic Spiking Neuron Statistics In A Population Are Described By A Single Parametric Distribution, Lauren Crow 9370373
Undergraduate Research Posters
The spiking of activity of neurons throughout the cortex is random and complicated. This complicated activity requires theoretical formulations in order to understand the underlying principles of neural processing. A key aspect of theoretical investigations is characterizing the probability distribution of spiking activity. This study aims to better understand the statistics of the time between spikes, or interspike interval, in both real data and a spiking model with many time scales. Exploration of the interspike intervals of neural network activity can provide a better understanding of neural responses to different stimuli. We consider different parametric distribution fitting techniques to characterize …