In environmental and nutritional epidemiology and in many other fields, there is increasing interest in estimating the effect of simultaneous exposure to several agents (e.g., multiple nutrients, ...
This work explores the representation of univariate and multivariate functions as matrix product states (MPS), also known as quantized tensor-trains (QTT). It proposes an algorithm that employs ...
A Kernel-Based Approach to Errors-in-Variables Identification of Stable Multivariable Linear Systems
Abstract: In this article, we present a kernel-based nonparametric approach to identifying stable multi-input multioutput (MIMO) linear systems in the presence of bounded noise affecting both the ...
1 Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AK, USA. 2 Department of Statistical Science, Baylor University, Waco, TX, USA. The fact that the Bayes ...
ABSTRACT: Certain locally optimal tests for deterministic components in vector time series have associated sampling distributions determined by a linear combination of Beta variates. Such ...
Abstract: A stochastic approximation algorithm is presented for on-line identification of linear, multivariable, discrete-time systems from noisy data without prior knowledge of the statistics of ...
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