Pathway or gene set analysis has become an increasingly popular approach for analyzing high-throughput biological experiments such as microarray gene expression studies. The purpose of pathway analysis is to identify differentially expressed pathways associated with outcomes. Important...

In this paper we study the integer-valued autoregressive model, which belongs to the class of thinning models with count data.We mainly focus on the random coefficient integer-valued autoregressive (RCINAR) model and propose a conditional least absolute deviation (CL1) method to estimate the...

This paper presents experimental studies on a solar-assisted ground coupled heat pump (SAGCHP) system for space heating. The system was installed at the Hebei Academy of Sciences in Shijiazhuang (lat. N38°03′, long. E114°26′), China. Solar collectors are in series connection with the...

Past studies of the relationships between economic activity and geography have been hampered by limited spatial data on economic activity. This study presents revised data on global economic activity, the G-Econ database, which measures economic activity for the entire globe, measured at a 1°...

Methods for gene set analysis test for coordinated changes of a group of genes involved in the same biological process or molecular pathway. Higher statistical power is gained for gene set analysis by combining weak signals from a number of individual genes in each group. Although many gene set...

Accurately assessing the impacts of climate change on each economic sector is essential for designing effective climate policies. Although the impacts of climate change on the agricultural and industrial sectors have been abundantly explored, studies focusing on the service sector are still...