Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

New FDA guidance that’s a ‘huge deal’ for clinical trials

The guidance encourages the use of Bayesian statistics in drug trials. Instead of starting from scratch and only adding new ...
PharmExec

The Next Generation of Trial Designs: Supplementing Trials with Real-World Data

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
GitHub

Bayesian Deep-Learning Structured Illumination Microscopy Enables Reliable Super-Resolution Imaging with Uncertainty Quantification

Abstract: The objective of optical super-resolution (SR) imaging is to acquire reliable sub-diffraction information on bioprocesses to facilitate scientific discovery. Structured illumination ...

How To Speed Up the Search for Cures Through a Change in Probability Theory

If the FDA follows through with the proposed guidelines, and they are not fatally twisted by pressure from the medical ...
IEEE

Homotopic Gaussian Mixture Filtering for Applied Bayesian Inference

Abstract: Bayes' rule, although a powerful framework for performing state estimation, is often intractable for real-world, nonlinear dynamic systems. As a result, estimation algorithms typically rely ...
IEEE

Improving Transferability of Adversarial Examples via Bayesian Attacks

Abstract: The transferability of adversarial examples allows for the attack on unknown deep neural networks (DNNs), posing a serious threat to many applications and attracting great attention. In this ...
Psychology Today

How Bayesian Thinking Helps Win Lotteries and Life

Lotteries are hard to win. The odds of hitting the Powerball jackpot are so tiny that, as a CNN commenter once put it, you have a better chance of becoming an astronaut, dating a supermodel, and ...