The Double Vector Quantization method, a long-term forecasting method based on the SOM algorithm, has been used to predict the 100 missing values of the CATS competition data set. An analysis of the proposed time series is provided to estimate the dimension of the auto-regressive part of this nonlinear auto-regressive forecasting method. Based on this analysis experimental results using the Dou...

In this paper we propose a way of increasing the efficiency of some direct Receding Horizon Control (RHC) schemes. The basic idea is to adapt the allocation of computational resources to how the iterative plans are used. By using Gradual Dense-Sparse discretizations (GDS), we make sure that the plans are detailed where they need to be, i.e., in the very near future, and less detailed further ah...

The paper includes the results of comparative investigation of soil organic matter (SOM) content, aggregate size distribution (ASD) and water-stability of structural aggregates (WSA) of humus horizon (0–30 cm) of non-carbonate silty clay gleyic fluvisol in the Kolubara river valley (West Serbia) under natural deciduous forest vegetation and the same gleyic fluvisol used for more than 100 years ...

Horizon-matched historical volatility is commonly used to forecast future volatility for option valuation under the Statement of Financial Accounting Standards 123R. In this paper, we empirically investigate the performance of using historical volatility to forecast long-term stock return volatility in comparison with a number of alternative forecasting methods. Analyzing forecasting errors and...

background: disease-modifying drugs (dmds) are a significant expenditure for treating multiple sclerosis (ms). however, there is limited report on assessment of the cost-utility of dmds compared with symptom management in the presence of long-term data. this study aimed to assess the lifetime cost-utility from the iranian healthcare perspectives of 4dmds relative to symptom management alone in ...

INTRODUCTION Dual-energy X-ray absorptiometry (DXA) is increasingly being used to assess abnormalities in body composition associated with a wide variety of conditions including obesity, sarcopenia, diabetes, anorexia, human immunodeficiency virus lipodystrophy, malabsorption and neuromuscular disorders. The objective of this study was to determine the short-term in vivo precision and least sig...

The goal of this paper is to specify and summarize assumptions and proofs for new approaches to discounting proposed in our catastrophic risk management studies. The main issue is concerned with justification of investments, which may turn into benefits over long and uncertain time horizon. For example, how can we justify mitigation efforts for expected 300-year flood that can occur also next y...

The relentless spread of photovoltaic production drives searches smart approaches to mitigate unbalances in power demand and supply, instability on the grid ensuring stable revenues producer. Because development energy markets with multiple time sessions, there is a growing need forecasting for steps, from fifteen minutes up days ahead. To address this issue, study both short-term-horizon three...