Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

Add a description, image, and links to the dynamic-discrete-distribution topic page so that developers can more easily learn about it.

This ('BO-Arbitrary') is an extension of the kinetic electromagnetic magnetized dispersion relation solver PDRK/BO (https://github.com/hsxie/pdrk, https://github.com ...

This waveform generator is small enough to fit on any bench and packs many useful features so long as you operate it from the physical or virtual front panel. The software, however, needs work.

Department of Basic Science, Nippon Veterinary and Life Science University, Tokyo, Japan. According to the uncertainty principle, the motion of the single electron in the 1s orbit of a hydrogen atom ...

AMC Entertainment published another set of weak financial results this month. The company managed to renegotiate its bonds and extend their maturities. Some of its junk bonds now yield over 20%. AMC ...

Adding FEV1 and FVC to the original CVD prediction models could improve their level of discrimination, with FEV1 potentially offering the greatest improvement. Lung function impairment and lower ...