Most machine learning regression models only yield single point estimations for the label of a new observation. However, when dealing with multi-modal or asymmetric distributions, a single point estimate is not enough to ...

Density estimation methods can be used to solve a variety of statistical and machine learning challenges. They can be used to tackle a variety of problems, including anomaly detection, generative models, semi-supervised ...

Given two samples from two populations, one could ask how similar the populations are, that is, how close their probability distributions are. For absolutely continuous distributions, one way to measure the proximity of ...

We present two different approaches to obtain a probability density function for the stock?s future price: a predictive distribution, based on a Bayesian time series model, and the implied distribution, based on Black & ...

The plant's ability to invest in the wood tissue in different organs is crucial to its survival in terrestrial environments. Wood is a complex system linked to water transport, mechanical support, and storage of essential ...

With the increased interest in growing native fish species the tetra has been highlighted nationally in the marketing of fish facing the two niche markets: as a snack in bars and restaurants and other natural bait for sport ...

The present practical work was carried out the measurement of the physical density constant in 4 milk brands applying the NTN INEN 0011 standard determination of the relative density of the milk applying the lactodensimeter ...