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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, ...

"Pattern Recognition and Machine Learning" - Bishop, is a very good and comprehensive book. Personally I really like this one. "Bayesian Data Analysis" - Gelman, is often the first book you are ...

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 ...

ChatGPT offers Advanced Data Analysis, a powerful tool that helps users crunch data and search for insights. Over the past year, I've had the opportunity to use it to quite good effect.

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 ...

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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 ...

Long-term fishery data, including catch amount (t) and effort (vessel days), spanning 38 years from 1972 to 2019, were obtained from the Japanese logbook data records for analysis. The JPPL fishery ...

The pattern has its roots in the behavioral aspects of trading and often sets the stage for bigger bull runs.