Supports a wide range of spectral data, including XPS, FT-IR, and NMR. From automatic determination of peak count and peak ...

Bayesian statistics represents a powerful framework for data analysis that centres on Bayes’ theorem, enabling researchers to update existing beliefs with incoming evidence. By combining prior ...

Get your news from a source that’s not owned and controlled by oligarchs. Sign up for the free Mother Jones Daily. It is really, really hard to find stuff to write about other than the C19 pandemic.

Here’s our estimate of public support for vouchers, broken down by religion/ethnicity, income, and state: (Click on image to see larger version.) We’re mapping estimates from a hierarchical Bayes ...

Some of you may have come across a growing number of publications in your field using an alternative paradigm called Bayesian statistics in which to perform their statistical analyses. The goal of ...

We discuss the development of a course in Bayesian statistics that began as an offering to statistics graduate students, evolved into a course for graduate students in other departments, then was ...

“Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks,” by Will Kurt (2019 No Starch Press) is an excellent introduction to subjects ...

Welcome to another installment of This Week at FDA, your weekly source for updates – big and small – on FDA, drug, and medical device regulation and what we’re reading from around the web. This week, ...

A probability is a number that takes some value equal to or between zero and one. If the probability of the 'event' of interest is zero, then the event cannot occur. So, for example, the probability ...