Nature

Nonparametric Methods in Probability Density Estimation

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...
Open Access Government

Leveraging machine learning and robust small area estimation methods for stand-level forest inventory

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
JSTOR Daily

Estimation and Inference of Discontinuity in Density

Continuity or discontinuity of probability density functions of data often plays a fundamental role in empirical economic analysis. For example, for identification and inference of causal effects in ...
JSTOR Daily

Use of fecal DNA to estimate black bear density in an urban-wildland interface

Vol. 46, No. 4, Climate Adaptation Actions Machine Learning for Camera Traps Crippling Loss in Waterfowl (September 2022), pp. 1-14 (14 pages) American black bears (Ursus americanus) commonly ...
ascopubs.org

Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning

We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...