In this paper we discuss several aspects of simulation based Bayesian econometric inference. We start at an elementary level on basic concepts of Bayesian analysis; evaluating integrals by simulation methods is a crucial ingredient in Bayesian inference. Next, the most popular and well-known simulation techniques are discussed, the Metropolis-Hastings algorithm and Gibbs sampling (being the mos...

Any discussion on exchange rate movements and forecasting should include explanatory variables from both the current account and the capital account of the balance of payments. In this paper, we include such factors to forecast the value of the Indian rupee vis a vis the US Dollar. Further, factors reflecting political instability and lack of mechanism for enforcement of contracts that can affe...

Prenyltransferases (PTSs) are involved in the biosynthesis of terpenes with diverse functions. Here, a novel PTS from Arabidopsis (Arabidopsis thaliana) is identified as a trans-type polyprenyl pyrophosphate synthase (AtPPPS), which forms a trans-double bond during each homoallylic substrate condensation, rather than a homomeric C10-geranyl pyrophosphate synthase as originally proposed. Biochem...

Nowadays, an increasing number of populations are accessing the Internet for commercial services which is the major cause for attack. Threats are created everyday by an individual or by the organization that attacks the network system. Unusual Malicious activities and unauthorized access are identified by observing the network in Intrusion Detection System. IDS is a passive monitoring system, i...

The paper considers urban sprawl in Europe from a multidimensional and exploratory point of view. Several studies on the topic (mainly from urban economics, but also from other fields, such as urban planning or regional science) are reviewed in order to identify the key dimensions of the urban sprawl phenomenon in Europe. These comprise the following six elements: connectivity, decentralization...

In this paper we consider the forecasting performance of a range of semiand non-parametric methods applied to high frequency electricity price data. Electricity price time-series data tend to be highly seasonal, mean reverting with price jumps/spikes and timeand price-dependent volatility. The typical approach in this area has been to use a range of tools that have proven popular in the financi...

Fusion between two lipid bilayers is one of the central processes in cell biology, playing a key role in endocytosis, exocytosis, and vesicle transport. We have previously developed a model system that uses the hybridization of complementary DNA strands to model the formation of the SNARE four-helix bundle that mediates synaptic vesicle fusion and used it to study vesicle fusion to a tethered l...

This study presents an application of neural network methods for forecasting per pupil expenditures in public elementary and secondary schools in the United States. Using annual historical data from 1959 through 1990, forecasts were prepared for the period from 1991 through 1995. Forecasting models included the multivariate regression model developed by the National Center for Education Statist...