Abstract: This paper presents a new algorithm to obtain reduced-order model of linear periodically time-varying (LPTV ... by the time-dependent derivatives (or moments) of the transfer function. We ...

Flat prior (not usually recommended); Super-vague but proper prior: normal(0, 1e6) (not usually recommended); Weakly informative prior, very weak: normal(0, 10); Generic weakly informative prior: ...

Abstract: A cost function is constructed for the random finite-set-based ... These covariances are based upon the given distribution of the target/reference geometry. Then an extended linear-quadratic ...

Considering the outcomes of incident coronary artery disease, stroke and the combined outcome of CVD, linear and nonlinear Mendelian randomization analyses were performed on 255 714 European ancestry ...

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Three models are investigated: a) Modeling the next year’s load as a linear function of multivariable (previous year’s hourly loads), b) as a nonlinear function of previous year’s hourly loads, and c) ...