How I Learned To Love The Bubble (Even Before It Bursts)

The US equity market stands at the most extreme valuations in history, on the measures we find best correlated with actual ...
University of Surrey

A new theoretical framework for the unresolved resonance region

In this project, the student will work on probabilistic modelling and machine-learning techniques to advance the current description of nuclear reactions in specific energy regimes of astrophysical ...
New Scientist

Hardening – the new way to stop your kids getting a cold?

“It is well known that the best means of preventing colds is hardening,” writes Sidikova Maryam Amankeldievna in the Journal of Medicine, Practice and Nursing. To prevent parents from going overboard, ...
inc42

What Is Probability Density Function? Here’s All You Need to Know

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...
GitHub

In Eq5, BEV feature expectation function is 2 dim?? , but conditional probability is 3-dim. how to calculate final Feature for BEV??

I am writing to express my sincere appreciation for your excellent research. Your work has been incredibly insightful and has sparked my curiosity in several areas. I have a question regarding ...
IEEE

Numerical conditional probability density function and its application in jitter analysis

Jitter is a critical factor to the performance of highspeed signal links. Jitter can be modeled as a random process. Both the probability density function (PDF) and the spectral characteristics of the ...
PNAS

Distilling dynamical knowledge from stochastic reaction networks

Stochastic reaction networks are important in understanding complex systems, but representing their solution space through brute force would require an unacceptable computational complexity and ...