We extend recently introduced latent threshold dynamic models to include dependencies among dynamic latent factors underlying multivariate volatility. With an ability to induce time-varying sparsity into factor loadings, these models now also allow time-varying correlations among factors; this may be exploited to improve volatility forecasts. We couple multi-period, out-of-sample forecasting wi...

today, many companies have multiple channels, such as sales force, direct mail / catalog, internet and broadcast channels, telephone, etc. for providing goods and services to its customers. multiple distribution channels, despite having benefits, several challenges such as the incidence of conflict, allocation of product, free ride some members have being emerged. the aim of this study was to i...

the present research proposes and optimizes the performance of a novel solar-driven combined cooling, heating, and power (cchp) kalina system for two seasons—winter and summer—based on exergy, exergo-economic, and exergo-environmental concepts applying a non-dominated sort genetic algorithm-ii (nsga-ii) technique. three criteria, i.e. daily exergy efficiency, total product cost rate, and total ...

In this paper an optimization framework is presented for automated performance-based seismic design of bridges consisting of multi-column RC pier substructures. The beneficial effects of fusing components on seismic performance of the quasi-isolated system is duly addressed in analysis and design. The proposed method is based on a two-step structural analysis consisting of a linear modal dynami...

Due to the development of science and technology, the computer has become a useful tool for supporting engineering activities in product design. Many computer aided tools such as CAD/CAM, product data management (PDM), product life cycle assessment (PLA), etc., have been popularly used in industry for reducing product development lead-time and increasing total product quality. However, the nume...

C-TREND: A New Technique for Identifying and Visualizing Trends in Transactional Data Gediminas Adomavicius, Jesse Bockstedt Department of Information and Decision Sciences Carlson School of Management University of Minnesota { [email protected], [email protected] } Last Modified: February 1, 2007 Abstract. We introduce C-TREND, a new temporal data analysis and visualization technique for rep...

This paper deals with a realistic multi-period liner ship fleet planning problem by incorporating stochastic dependency of the random and period-dependent container shipment demand. This problem is formulated as a multi-period stochastic programming model with a sequence of interrelated two-stage stochastic programming (2SSP) problems characterized ship fleet planning in each single period. A s...

We develop new algorithmic approaches to compute provably near-optimal policies for multi-period stochastic lot-sizing inventory models with positive lead times, general demand distributions and dynamic forecast updates. The policies that are developed have worst-case performance guarantees of 3 and typically perform very close to optimal in extensive computational experiments. The newly propos...