Learn to enhance your probabilistic reasoning for more accurate data analysis and better decision-making with logical thinking skills.

Learn how probabilistic methods can improve your quantity take-off accuracy and reliability, and what are the benefits and challenges of using them.

Two methods for combining the information contents from multiple sources of remote-sensing image data and spatial data in general are described. One is a probabilistic scheme that employs a global ...

A modified approach to the Bayesian data analysis is proposed and an original methodology for identifying and accounting the possible uncertainties that exist in modelling and predicting ...

Formulate questions that can be addressed with data and collect, organize, and display relevant data to answer them Select and use appropriate statistical methods to analyze data Develop and evaluate ...

A recent paper in Reviews of Geophysics describes a probabilistic method for evaluating tsunami location, size, and risk to human populations.

A statistical framework for assigning confidence scores for protein-protein interaction data generated via affinity purification–mass spectrometry, called significance analysis of interactome ...

In the last decade, numerous statistical methods have been developed for analyzing microbiome data generated from high-throughput next-generation sequencing technology. Microbiome data are typically ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...