As the factorial function used to generate these log-multinomial coefficients is approximate, results like this one are not exact, although respecting the magnitude of this value (e^106.6), the actual ...
Compute the constant multinomial component of the SECR log likelihood For multi-session data, the value is the sum of the single-session values. Both session structure and group structure therefore ...
Predicting the timing of phenological events is important in agriculture, especially high-revenue products. A project sponsored by USDA-ARS had the objective of adapting a previously developed model ...
Abstract: Recently developed methods for learning sparse classifiers are among the state-of-the-art in supervised learning. These methods learn classifiers that incorporate weighted sums of basis ...
Abstract: A general formulation to develop electromagnetic-based polynomial surrogate models in the frequency domain utilizing the multinomial theorem is presented in this paper. Our approach is ...
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