2 citations · 2 across the 6 of their papers we have counts for
6 papers
Random Trajectory Models for Complex Phenomena
Jeffrey D. Picka
Many models for complex phenomena use a model for strongly-interacting elements on a small scale to generate larger-scale simulations of some aspects of experimental realizations.…
Objective Methods for Assessing Models for Wildfire Spread
Jeffrey Picka
Models for wildfires must be stochastic if their ability to represent wildfires is to be objectively assessed. The need for models to be stochastic emerges naturally from the physi…
Validation of Models for the Flow of Granular Media
Jeffrey Picka
Validation of models for powder flow requires that the models be stochastic and that they be fit by statistical inference. Methods from spatial and multivariate statistics can be u…
Summarization and Classification of Non-Poisson Point Processes
Jeffrey Picka, Mingxia Deng
Fitting models for non-Poisson point processes is complicated by the lack of tractable models for much of the data. By using large samples of independent and identically distribute…
Quantifying Disorder in Point Patterns
Jeffrey Picka
Disorder in point patterns can be quantified by means of the complexity, rather than in terms of geometric attributes of pattern structure. A complexity-based disorder-quantifying…
Statistical Inference for Disordered Sphere Packings
Jeffrey Picka
Sphere packings are essential to the development of physical models for powders, composite materials, and the atomic structure of the liquid state. There is a strong scientific nee…