In this work we introduce a new model space prior for Bayesian variable selection in linear regression. This prior is designed based on a recursive constructive procedure that randomly generates models by including variables in a stagewise fashion. We provide a recipe for carrying out Bayesian variable selection and model averaging using this prior, and show that it possesses several desirable ...

The planning and scheduling of the inventory, production and distribution functions remains an open research area, since few studies have developed models allowing their integrated management. In this paper, we consider a three-stage supply chain, for which a sustainable inventory-production-distribution plan over a multi-period horizon is constructed. The associated program takes the form of a...

Structured prediction is the problem of learning a function from structured inputs to structured outputs. Inspired by the recent successes of search-based structured prediction, we introduce a new framework for structured prediction called HC-Search. Given a structured input, the framework uses a search procedure guided by a learned heuristic H to uncover high quality candidate outputs and then...

Constrained storage vector quantization, (CSVQ), introduced by Chan and Gersho (1990, 1991) allows for the stagewise design of balanced tree-structured residual vector quantization codebooks with low encoding and storage complexities. On the other hand, it has been established by Makhoul et al. (1985), Riskin et al. (1991), and by Mahesh et al. (see IEEE Trans. Inform. Theory, vol.41, p.917-30,...

OBJECTIVE To determine the comparative pattern of distribution of four stages of breast cancer in 2 different hospitals in Lahore. METHODS For all the variables under study test-statistic t has been used for stagewise comparisons between the Institute of Nuclear Medicine and Oncology (INMOL) and Shaukat Khanum Memorial Cancer Hospital (SKMCH) whereas the four stages of the disease were compar...

PROBLEM Various demographic and community characteristics are associated with child abuse rates in national and urban samples, but similar analyses have not been done within rural areas. This study analyzes the relationships between reported and substantiated rates of child abuse and county demographic, health care resource and social services factors in a predominantly rural state in the US. ...

Absolutely continuous bivariate exponential (ACBVE) models have been widely used in the analysis of competing risks data involving two risk components. For such an analysis, frequentist approach often runs into difficulty due to a likelihood containing some nonidentifiable parameters. With an end to overcome this nonindentifiability, we consider Bayesian procedures. Utilization of informative p...

Abstract Detailed knowledge of a soil’s lime requirement (LR) is prerequisite for demand-based fertilization to achieve the optimum soil pH and thus sustainably increasing fertility crop yields. LR can be directly determined by base neutralizing capacity (BNC) obtained soil-base titration. For site-specific acidity management, detailed information on within-field variation BNC required. However...

The popularity of Conditional Value-at-Risk (CVaR), a risk functional from finance, has been growing in the control systems community due to its intuitive interpretation and axiomatic foundation. We consider nonstandard optimal problem which goal is minimize CVaR maximum random cost subject Borel-space Markov decision process. objective represents departure desired operating region averaged ove...

This paper presents a statistical model for expressing preferences through rankings, when the number of alternatives (items to rank) is large. A human ranker will then typically rank only the most preferred items, and may not even examine the whole set of items, or know how many they are. Similarly, a user presented with the ranked output of a search engine, will only consider the highest ranke...