Opinion
Beyond the Demographic and Health Survey: on the past and future of population health surveillance
The Demographic and Health Survey (DHS) programme was paused at the start of 2025 following deep cuts to the United States’ Agency for International Development (USAID). Since the middle of the 1980s, ...
The word correlation is used in everyday life to denote some form of association. We might say that we have noticed a correlation between foggy days and attacks of wheeziness. However, in statistical ...
Abstract: Mixing coefficients between two random variables act as a measure of their dependence. For stochastic processes mixing is another way of saying that the process is asymptotically independent ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
When one person observes another making a sandwich or changing a flat tire, knowledge about the parts of the activity can allow the observer to fill in missing information, predict what will happen ...
Abstract: The Gaussian modulated continuous variable quantum key distribution (GM-CVQKD) protocol is known to maximise the mutual information between two parties during quantum key distribution (QKD).
Background A more nuanced understanding of behavioural responses to incentives over time, particularly after they are removed, could guide more effective interventions. In this study, we build on the ...
The collective dynamics and structure of animal groups has attracted the attention of scientists across a broad range of fields. A variety of agent-based models have been developed to help understand ...
Pishro-Nik's: Introduction to Probability, Statistics and Random Processes is a very accessible introductory probability and statistics book at a level of an undergraduate math/computer ...
Classification and regression performance is typically measured using metrics such as accuracy and AUC for classification, or mean squared error for regression. These ...
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