Abstract: Compared to traditional remote sensing classification and inversion techniques, remote sensing statistical inference is a novel method for rapidly estimating the statistical properties of ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
The HiDimStat package provides statistical inference methods to solve the problem of variable importance evaluation in the context of predictive model using high-dimensional and spatially structured ...
As of the end of June 2025, the most recent reporting period, 117.3 million people had been forced to flee their homes globally due to persecution, conflict, violence, human rights violations or ...
The Bayesian approach to statistical inference and other data analysis tasks gets its name from Bayes’s theorem (BT). BT specifies that a posterior probability for a hypothesis concerning a data ...
Racism in healthcare can have negative consequences for both those being treated and healthcare workers, leading to higher risks of illness and, in some cases, lower standards of care for people of ...
Abstract: The problem of statistical inference in its various forms has been the subject of decades-long extensive research. Most of the effort has been focused on characterizing the behavior as a ...
Jeffrey Johnson has written novels and movies in addition to legal analyses of eminent domain and immigration law. His experience in writing engaging fiction makes him uniquely capable of making the ...
The Alan Turing Institute, 96 Euston Road, London NW1 2DB, UK This Personal View is intended for early-career researchers who are not yet experts in statistics. The Personal View focuses on common but ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results