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