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On the theory of dynamic graph regression problem
Most of real-world graphs are dynamic , i.e., they change over time by a sequence of update operations. While the regression problem has been studied...
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Regression Models for Calculating State-to-State Coefficients of the Rate of Vibrational Energy Exchanges
AbstractThe paper proposes an effective algorithm for solving problems of nonequilibrium gas dynamics taking into account detailed state-to-state...
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Multiple Change Points Detection in High-Dimensional Multivariate Regression
This paper considers the problem of detecting structural changes in a high-dimensional regression setting. The structural parameters are subject to...
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Use of Regression Algorithm for Bike Ride Sharing Demand Projection
Bike-sharing systems are becoming an increasingly popular means of transportation in areas of urban populations around the world. Accurate prediction...
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Partial Dynamic Dimension Reduction for Conditional Mean in Regression
In many regression analysis, the authors are interested in regression mean of response variate given predictors, not its the conditional...
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Compressed Least Squares Algorithm of Continuous-Time Linear Stochastic Regression Model Using Sampling Data
In this paper, the authors consider a sparse parameter estimation problem in continuous-time linear stochastic regression models using sampling data....
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Strip** the Swiss discount curve using kernel ridge regression
We analyze and implement the kernel ridge regression (KR) method developed in Filipovic et al. (Strip** the discount curve—a robust machine...
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Relaxation of Conditions for Convergence of Dynamic Regressor Extension and Mixing Procedure
AbstractA generalization of the dynamic regressor extension and mixing procedure is proposed, which, unlike the original procedure, first, guarantees...
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Predictive modelling of critical variables for improving HVOF coating using gamma regression models
Thermal spray coating is a critical process in many industries, involving the application of coatings to surfaces to enhance their functionality....
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A dynamic programming approach for generalized nearly isotonic optimization
Shape restricted statistical estimation problems have been extensively studied, with many important practical applications in signal processing,...
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An Efficient Regression Test Cases Selection & Optimization Using Mayfly Optimization Algorithm
Testing has been an inevitable activity in the software development life cycle. In the current scenario, software development has become evolutionary...
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Quantile Regression of Ultra-high Dimensional Partially Linear Varying-coefficient Model with Missing Observations
In this paper, we focus on the partially linear varying-coefficient quantile regression with missing observations under ultra-high dimension, where...
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Dynamic Graph Neural Networks
Graph Neural Networks aim to embed nodes into a low-dimensional space, while preserving the network structures and properties. However, in the real...
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Robust Two-Stage Estimation in General Spatial Dynamic Panel Data Models
This paper proposes a robust two-stage estimation procedure for a general spatial dynamic panel data model in light of the two-stage estimation...
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Quality-Related Dynamic Process Monitoring: Part II
In the current dynamic process monitoring studies, several methods deriving from the PLS model, such as DTPLS and DiPLS, perform oblique...
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On estimation and prediction in spatial functional linear regression model
We consider a spatial functional linear regression, where a scalar response is related to a square-integrable spatial functional process. We use a...
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A Class of Structured High-Dimensional Dynamic Covariance Matrices
High-dimensional covariance matrices have attracted much attention of statisticians and econometricians during the past decades. Vast literature is...
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Holistic Inferential Approach for Restricted Parameters in Multivariate Regression with Continuous Responses: A Monte Carlo Experiment
Efficient and significant empirical estimate of the multivariate regression parameters will be helpful for the policy maker to make the right...
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Peer effect and dynamic ALM games among insurers
Technology advances have enhanced competition in insurance industry. This paper investigates a class of dynamic asset and liability management(ALM)...
