Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...

Scientists at the Canadian Centre for Climate Modelling and Analysis (CCCma) in Environment and Climate ... also supported through the provision of climate model and observational data.

It largely involves predictive modeling, statistics, data mining and advanced analysis. Prescriptive analytics, as the name suggests, goes one step further and uses machine learning to empower ...

models for time series analysis. Rather than forecasting future values, we focus here on examining change across time in outcomes of interest and how this change is related to relevant variables. Much ...

pose significant challenges for effective integrative analysis. Here, we propose an unsupervised generative model, iPoLNG, for the effective and scalable integration of single-cell multiomics data.

exploratory data analysis and data visualisation, generalised linear models, and generalised latent variable models (including mixed effects or multilevel models, longitudinal data analysis, and ...

The MSc in Environmental Modelling and Data Analysis will provide you with the skills to go on to a career in this exciting area. You will learn how models of environmental processes are developed and ...

In most clinical trials, economic data are not collected alongside the study. The model, resulting from decision analysis, must correspond, as much as possible, to the real-life situation of the ...

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A ...