Adaptive line transect sampling offers the potential of improved population density estimation efficiency over conventional line transect sampling when populations are spatially clustered. In adaptive ...
In a study published in PNAS, a research team led by SHI Xinghua from the National Center for Nanoscience and Technology (NCNST) of the Chinese Academy of Sciences, in collaboration with GAO Huajian's ...
We sampled forest floor herpetofaunal communities in a monsoonal rainforest in South India for three consecutive years to evaluate the use of cluster sampling in estimating species composition and ...
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Toward rapid and comprehensive genetic diagnosis of pediatric cancer through adaptive sequencing
What if a single test could simultaneously contribute to the diagnosis, characterization, and treatment guidance of childhood cancer—while helping avoid toxic or potentially unnecessary treatments?
For certain applications, the use of a low-cost microcontroller (MCU) is a must, yet many of those applications need to interface with high data rate signals. The problem is that as the data rate of ...
Dr. Arthur Lance Dryver is a statistician and educator with expertise in adaptive sampling and statistical modeling. He holds a Ph.D. in Statistics from The Pennsylvania State University, where he ...
11 to 15 November 2019, Frascati, Italy – A total of 30 participants attended the fifth Center for Development Data (C4D2) International Training Week titled “Special Topics and Recent Developments in ...
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