#determinant <- matrix(0, nrow = length(checkpoints) * rep, ncol = 3) ess_mat_concat <- matrix(, nrow = length(checkpoints) * rep, ncol = 3) ess_mat_avg <- matrix ...

Create examples for the Multinomial Models section in the Python documentation #8905 Closed exalate-issue-sync opened on May 12, 2023 ...

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 ...

Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise covers a ...

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 ...

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 ...

On 25 September 2015, the United Nations Sustainable Development Summit adopted the 2030 Agenda for Sustainable Development (The United Nations, 2015). Sustainable city development integrates three ...