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In many applications one is interested in the behavior of a process at various time scales or intervals T. The key issue in accurate time series analysis at interval T is order selection, rather than parameter estimation. Order selection at interval T uses knowledge of the statistal behavior of estimated AR parameters at interval T. A finite sample expression for this behavior is derived and verified...
Conceptual modelling is a mature management approach, likes supply chain management within virtual enterprises. This approach is confronted with the challenge to transform from a current centralized approach towards an open and collaborative approach. This paper elaborates on the challenge to enable the collaborative editing of certain modelling information. This decentralised decision making process...
Foundations of the integrated theory of analytically defined and multifunctional data structuring on the basis of correlative, entropic, spectral, logical and statistical and matrix models of data movement have been presented in this article.
It is a well-known fact that financial markets react to information. Even though this relationship seems simple, finding evidence is not easy since information is embedded in textual news releases. Only recent have researchers started to look at the content of news. Interestingly, previous work avoids the inference of a causal relationship between news messages and abnormal returns. In this paper,...
Future generation (5G and beyond) cellular networks have to deal not only with an extreme traffic demand increase, but also an extreme level of heterogeneity in the distribution of that demand in both space and time. Traffic modeling in the time domain has been investigated well in the literature. In the space domain, however, there is a lack of statistical models for the heterogeneous User Equipment...
In some applications of statistical quality control, process quality is described by the relationship between a response variable and one or more explanatory variables that is called profile. Profile monitoring procedures assumes that error terms are uncorrelated random normal variables with zero mean and constant variance (homosedasticity). However in some applications, these assumptions can be violated...
MicroRNAs (miRNAs) are small non-coding RNAs which cause target genes degradation or translational inhibition. Constructing functional miRNAs regulatory module can be a significant step towards the discovery of their regulatory roles in various development programs. In this paper, we present a Correlated Correspondence Regulatory Module model which builds on modified Correlated Topic Model (CTM)....
This study investigates the techno-economic assessment of predicted wind energy generation from 50 MW wind farm at Pasni, Distt of Gawadar, Baluchistan –Pakistan. Key purpose of the current work is to find wind power potential at low, medium and higher heights. To explore the best and power potential, four years wind speed data is forecasted using statistical model. ARIMA models present a better understanding...
This paper presents a new approach to user identity currently being explored within the SuperIdentity project and outlines the specific role that biometric measurements can contribute towards a modelling process. The SuperIdentity project aims to define a novel holistic model wherein the proven strengths of relationships between facets of identity are mapped. These facets are drawn from both real...
The conception of contemporary science plainly supports the idea of e-science, and the qualitative aspects of both digital humanities and e-science and the search for new methods for extracting information and patterns from texts, hypertexts, images and networks reveals patterns of argumentation, rationality and irrationality that should be taken into consideration as part of the whole enterprise...
Along with the global climate warming, the ecological environment of the earth changes sharply. In order to prevent the worsening environment and protect the benign development trend, dynamic environment monitoring and real-time data analysis becomes necessary. Large scale ecological environmental data processing and statistical analysis results can provide an important basis for environmental protection...
We present a sport skill classification using time series motion picture data, focused on table tennis. We do not use body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and...
Traditional multilevel model assumed independence between groups. Datasets are different from traditional hierarchical data when it is grouped by geographical units. The individual is influenced by not only its region but also the adjacent regions. It could include spatial dependence between groups. Therefore, it is necessary to build a new model and estimation method. In this paper, spatial statistics...
We accurately characterize nonlinear phase noise in uncompensated coherent optical systems. We find that, though present, its impact on system performance is typically negligible in a wide range of practical system scenarios.
We have reviewed several e-learning empirical research studies that have investigated the effects of interaction on satisfaction and outcomes of e-learning, published between 2001 and 2010. Their conclusions seemed inconclusive, ranging from no relationships between interactions and two dependent variables (satisfaction and learning outcomes) to positive relationships. In-depth analyses of these empirical...
A self-organization of efficient and robust networks is important for a future design of communication or transportation systems, however both characteristics are incompatible in many real networks. Recently, it has been found that the robustness of onion-like structure with positive degree-degree correlations is optimal against intentional attacks. We show that, by biologically inspired copying,...
Generally surnames (family name) or forenames are evolved over generations which can be used to understand population origins, migration, identity, social norms and cultural customs. These forenames or surnames may have hidden structure associated with them called communities. Each community might have strong correlation among several forenames and surnames. In addition, the correlation might be across...
The following paper presents a new systematic approach to the design and construction of a hybrid mechanistic-empirical model for the prediction of cellular response to extracellular cues. The hybrid framework incorporates computable biological models, such as signal transduction network, with empirical experimental data. The environment input cues are augmented by intracellular signals computed as...
Gaussian process (GP) models are a flexible means of performing non-parametric Bayesian regression. However, the majority of existing work using GP models in healthcare data is defined for univariate output time-series, denoted as single-task GPs (STGP). Here, we investigate how GPs could be used to model multiple correlated univariate physiological time-series simultaneously. The resulting multi-task...
Artificial Neural Network (ANN) model has been developed to correlate age of severely osteoarthritic male and female specimens with key mechanical and structural characteristics of their trabecular bone. The complex interdependency between age, gender, compressive strength, porosity, morphology and level of interconnectivity was analysed in multi-dimensional space using a two-layer feedforward ANN...
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