This course provides an overview of radio and microwave astronomy and observations in modern cosmology. It provides thorough training in Bayesian data analysis with cosmological applications, ...

Combining various data sources ... Certain classes of Bayesian hierarchical models have shown to be particularly useful in such contexts. Bayesian approaches are strongly connected to statistical ...

The purpose of this study is to determine the relative efficacy of different types of exercise interventions for individuals with AS using a Bayesian network meta-analysis. Methods and analysis We ...

Micah Gelman is the director of video and a senior editor at The Washington Post. Gelman manages all editorial and business functions of Post video, overseeing a team of 70 video journalists ...

Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the ...

We compared CPAP compliance, cost-effectiveness and QoL between the beginning and the end of the study. A Bayesian cost-effectiveness analysis with non-informative priors was performed. Results We ...

Proteomic analysis (proteomics) refers to the systematic identification and quantification of the complete complement of proteins (the proteome) of a biological system (cell, tissue, organ ...

In the absence of head-to-head comparisons of different sodium glucose transporter-2 inhibitors, a Bayesian network meta-analysis was used to compare the efficacy of the drugs. Studies were identified ...