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Liapunov and Related Systems
We consider here algorithms which cannot be cast as stochastic gradient schemes, but have associated with their limiting (d-dimensional) o.d.e.
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The Evolution of Dynamic Gaussian Process Model with Applications to Malaria Vaccine Coverage Prediction
Gaussian process (GP)-based statistical surrogates are popular, inexpensive substitutes for emulating the outputs of expensive computer models that...
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Potential to Density via Poisson Equation: Application to Bespoke Learning of Gravitational Mass Density in Real Galaxy
In multiple real-world dynamical systems, structural properties can be deterministically linked to the evolution-driving function. For example, in...
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Regularized Latent Trajectory Models for Spatio-temporal Population Dynamics
Climate change impacts ecosystems variably in space and time. Landscape features may confer resistance against environmental stressors, whose...
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Surrogate Models for Optimization of Dynamical Systems
Surrogate models using a suitable orthogonal decomposition and radial basis functions have been proposed by many researchers to reduce the...
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Kalman recursions Aggregated Online
In this article, we aim to improve the prediction from experts’ aggregation by using the underlying properties of the models that provide the experts...
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Modelling interaction patterns in a predator-prey system of two freshwater organisms in discrete time: an identified structural VAR approach
In ecology, the concept of predation describes interdependent patterns of having one species (called the predator) killing and consuming another (the...
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Convergence Rates of Attractive-Repulsive MCMC Algorithms
We consider MCMC algorithms for certain particle systems which include both attractive and repulsive forces, making their convergence analysis...
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Transient Analysis of a Modified Differentiated Vacation Queueing System for Energy-Saving in WiMAX
A modified differentiated vacation queueing system with a close-down period and impatient customers is investigated in this research paper. The...
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Upper and Lower Bounds for the Synchronizer Performance in Systems with Probabilistic Message Loss
In this paper, we revisit the performance of the α -synchronizer in distributed systems with probabilistic message loss as introduced in Függer et al....
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Dynamic Models
A graph or hypergraphHypergraph is a static representation of all possible interactions between nodes. However, due to these same interactions, the...
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Labeled optimal partitioning
In data sequences measured over space or time, an important problem is accurate detection of abrupt changes. In partially labeled data, it is...
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Statistical Learning for Change Point and Anomaly Detection in Graphs
Complex systems which can be represented in the form of static and dynamic graphs arise in different fields, e.g., communication, engineering and...
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A new measure for the attitude to mobility of Italian students and graduates: a topological data analysis approach
Students’ and graduates’ mobility is an interesting topic of discussion especially for the Italian education system and universities. The main...
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Deep Learning Techniques in Big Data Analytics
The emergence of the digital age has ushered in an unprecedented era of data production and collection, creating big data models. In this context, a...
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An Overview and General Framework for Spatiotemporal Modeling and Applications in Transportation and Public Health
Spatiotemporal modeling and forecasting is an essential task for many real-world problems, especially in the field of transportation and public...
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Inference for Quasi-reaction Models with Covariate-Dependent Rates
Statistical models of quasi-reaction systems are typically described by constant reaction rates. This assumption is too restrictive in many...
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Causality in extremes of time series
Consider two stationary time series with heavy-tailed marginal distributions. We aim to detect whether they have a causal relation, that is, if a...
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Strategic Behavior and Optimization of an M/M/1 Queue with N-Policy and Hysteretic Control
This work aims to study customer strategic behavior and operational optimization of an M/M/1 queue with N -policy and dynamic service-rate control in...
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Pearson's correlation and background subtraction (BGS) based approach for object's motion detection in infrared video frame sequences
The importance of infrared or thermal imaging can be seen in various applications based on Machine Vision. The real-time based application in...
