California's bonus law facilitated the approval of over 140,000 homes, with significant affordable housing impact, a new ...

As post-war Sunbelt cities grow hotter, some are trying a new approach, mixing density, public land and public transportation ...

Abstract: Gaussian belief propagation algorithm ( GaBP ) is one of the most important distributed algorithms in signal processing and statistical learning involving Markov networks. It is well known ...

"Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." Vibration plates are everywhere right now, so much so that their prevalence was the butt of a joke in a ...

Is your feature request related to a problem? Please describe. It doesn't appear that there is an easy way to plot the marginal distribution for multivariate probability distributions. For example, ...

An intelligent power transducer plays an important role in the acquisition, monitoring, and control of data in power systems. A power transducer faces challenges of reduced measurement accuracy and ...

In the field of statistics and probability, marginal distribution plays a critical role in understanding the behavior of variables. It is a method used to determine the probability distribution of a ...

Abstract: The authors analyze the validity of the uniform model for the marginal probability density function (PDF) of granular quantization error (QE) in a uniform ...

Bayesian uncertainty quantification has a pivotal role in structural identification, yet the posterior distribution estimation of unknown parameters and system responses is still a challenging task.

A bimodal distribution often results from a process that involves the breakup of several sources of particles, different growth mechanisms, and large particles in a system. For instance, bimodal ...