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Hello and welcome to the Donald J. Trump School of Politics and Public Policy! As you may know, we are the only graduate school accredited to teach the Trump Method (TM™). Though we offer ...

In this study, a statistical model for path delay that is independent of the cell delay model is proposed. Bayesian inference is used to estimate cell delay with only a small number of Monte Carlo ...

The geostan R package supports a complete spatial analysis workflow with Bayesian models for areal data, including a suite of functions for visualizing spatial data and model results. geostan models ...

In this paper, I present and discuss a novel approach to parameterize a gravity model of migration using Bayesian hierarchical models with random intercepts that ... average of the entire calibration ...

However, most RUL prediction models address point estimates or total uncertainty. To this end, this article proposes a Bayesian data-driven RUL framework with aleatoric uncertainty and epistemic ...

SWOT analysis is a useful framework for recognizing and evaluating the internal and external factors that influence your performance and potential. It involves four components: Strengths ...

Before you start collecting data from different stakeholder sources, you need to define your objectives and scope for your SWOT analysis. What are the key questions you want to answer? What are ...