Background Cardiovascular disease (CVD) is the leading cause of mortality worldwide, while depression is highly prevalent in this patient population and has long been regarded as an independent risk ...
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 ...
Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...
ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.
Abstract: Synthetic aperture radar (SAR) plays a crucial role in remote sensing because of its ability to operate in all weather conditions, both day and night. The traditional FFT-based SAR imaging ...
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 ...
Abstract: With the increasing availability of electronic health records (EHR) data, it is important to effectively integrate evidence from multiple data sources to enable reproducible scientific ...
In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...
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