Journal of Epidemiology and Community Health (JECH)

Causal mediation approaches for understanding pathways to inequalities and policy entry points: examples from early years health and development

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.
Scientific Research Publishing

Michelangeli, P., Vrac, M., & Loukos, H. (2009). Probabilistic Downscaling Approaches: Application to Wind Cumulative Distribution Functions. Geophysical Research Letters, 36 ...

ABSTRACT: This study evaluates the projected impacts of climate change on surface water availability in the Diaguiri River Basin, a sub-catchment of the Gambia River in West Africa, using the ...
PNAS

Distribution of centrality measures on undirected random networks via the cavity method

Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...
GitHub

cumulative-distribution-functions

Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical ...
Frontiers

Computation and interpretation of mean absolute deviations by cumulative distribution functions

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.
IEEE

Self-Cumulative Contrastive Graph Clustering

Abstract: Contrastive graph clustering (CGC) has become a prominent method for self-supervised representation learning by contrasting augmented graph data pairs. However, the performance of CGC ...
C&EN

An R Shiny Application for Visualizing the Radial Distribution Functions of Hydrogen-Like Atoms

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The application presented here utilizes the R Shiny platform to ...
The Earth Institute Columbia University

Graphs of Two Variable Functions

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...
GitHub

cumulative-distribution-function-cdf

A Simple Algorithm for Converting Random Number Generator Outputs to Universal Distributions to Aid Teaching and Research in Modern Physical Chemistry ...
SiliconANGLE

Neo4j integrates dozens of graph analytics functions with data in Snowflake

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...
Frontiers

Asymmetric generalized error distribution with its properties and applications

The main finding of this study is the derivation of a new probability distribution that reveals interesting properties, especially with various asymmetry and kurtosis ...