Progress in statistical computation often leads to advances in statistical modeling. For example, it is surprisingly common that an existing model is reparameterized, solely for computational purposes, but then this new conŽ guration motivates a new family of models that is useful in applied statistics. One reason why this phenomenon may not have been noticed in statistics is that reparameteriz...

The reduction of viral load is frequently used as a primary endpoint in HIV clinical trials. Non-linear mixed-effects models are thus proposed to model this decrease of the viral load after initiation of treatment and to evaluate the intraand inter-patient variability. However, left censoring due to quantification limits in the viral load measurement is an additional challenge in the analysis o...

We have recently been witnessing the growing establishment of map-centered web-based geo-portals on national, regional and local levels. However, a particular issue with these geo-portals is that each instance has been implemented in different ways in terms of design, usability, functionality, interaction possibilities, map size and symbologies. In this paper, we try to tackle these shortcoming...

Recently ontology research has received much attention in geo-information science and the concept of ontology is very important for spatial information concept modeling and data sharing, classification of geographical classes. More importantly, it enriches the semantic theory of spatial information. Geo-information services and geo-information interpretation and extraction are the two main appl...

For a spanning tree T in a nontrivial connected graph G and for vertices u and v inG, there exists a unique u−v path u = u0, u1, u2, . . ., uk = v in T . A u− v T -path in G is a u− v path u = v0, v1, . . . , vl = v in G that is a subsequence of the sequence u = u0, u1, u2, . . . , uk = v. A u− v T -path of minimum length is a u− v T -geodesic in G. The T distance dG|T (u, v) from u to v in G i...

There are very few surveillance systems being used to detect disease outbreaks at present. In disease surveillance system, data related to cases and various risk factors are collected and then the collected data is transformed into meaningful information for effective disease control using statistical analysis tools. Disease outbreaks can be detected but for effective disease control, a visuali...

A comprehensive analysis of climate data can provide valuable information for weather forecasting and for our societys sustainable development. However, key challenges faced when modeling these climate data include the changing distribution of the underlying processes of the earths system, insufficient records, and unknown interacting physical processes. Until now, these issues have been addres...

Here we present an ab initio prediction of order-disorder transition (ODT) from $I\bar{4}2d$-type to a Th$_3$P$_4$-type phase in the cation sublattices Mg$_2$GeO$_4$, post-post-perovskite (post-PPv) phase. This uncommon type is achieved by carrying out high-throughput sampling atomic configurations 56-atom supercell followed Boltzmann ensemble statistics calculation. Mg$_2$GeO$_4$ low-pressure ...