Introduction SLE is a chronic autoimmune disease characterised by multisystem involvement and fluctuating clinical course, ...

Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...

ABSTRACT: This experimental study examines cheating behaviors in the entrepreneurial context, specifically investigating the impact of control systems and sanctions. We compare the honesty levels of ...

Los Angeles County’s unhoused population declined slightly for the second year in a row, according to authorities responsible for the region’s annual point-in-time homeless count. Results of the 2025 ...

Notice that UnmarshalJSON was not called for v1, but is called for v1in2. It seems that v1in2 eagerly handles any valid JSON prefix, and only reports an error for an ...

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

EL CAJON (KGTV) – Homelessness in San Diego County is seen pretty much everywhere. Every year, the Regional Task Force on Homelessness does an annual snapshot called the Point In Time Count on how ...

1 Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Republic of Korea 2 Department of Statistics, Seoul National University, Seoul, Republic of Korea Background: Batch ...

Adam Ruege of Community Solutions highlights the urgent need for real-time, accurate data on homelessness, arguing that outdated and flawed methods like the Point-In-Time count hinder meaningful ...

SAN ANTONIO – San Antonio now ranks second in Texas for the highest homeless population, according to new data from the U.S. Department of Housing and Urban Development. The 2024 Point-in-Time count ...

The complex nature of microbiome data has made the differential abundance analysis challenging. Microbiome abundance counts are often skewed to the right and heteroscedastic (also known as ...