Results 31 to 40 of about 45,001 (165)
Energies, 2013 A new short-term probabilistic forecasting method is proposed to predict the probability density function of the hourly active power generated by a photovoltaic system. Firstly, the probability density function of the hourly clearness index is forecasted
Gabriella Ferruzzi +4 more
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Bootstrapping periodically autoregressive models [PDF]
ESAIM: Probability and Statistics, 2017 The main objective of this paper is to establish the residual and the wild bootstrap procedures for periodically autoregressive models. We use the least squares estimators of model’s parameters and generate their bootstrap equivalents. We prove that the bootstrap procedures for causal periodic autoregressive time series with finite fourth moments are ...
Ciołek, Gabriela, Potorski, Paweł
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EntropyWe present a Forney-style factor graph representation for the class of multivariate autoregressive models with exogenous inputs, and we propose an online Bayesian parameter-identification procedure based on message passing within this graph.
Tim N. Nisslbeck, Wouter M. Kouw
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To center or not to center? Investigating inertia with a multilevel autoregressive model
Frontiers in Psychology, 2015 Whether level 1 predictors should be centered per cluster has received considerable attention in the multilevel literature. While most agree that there is no one preferred approach, it has also been argued that cluster mean centering is desirable when ...
Ellen L. Hamaker, Raoul P. P. P. Grasman
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Hospital Emergency Room Savings via Health Line S24 in Portugal
Econometrics, 2021 Hospital emergency departments are often overused by patients that do not really need urgent care. These admissions are one of the major factors contributing to hospital costs, which should not be allowed to compromise the response and effectiveness of ...
Paula Simões +2 more
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Bivariate binomial autoregressive models
Journal of Multivariate Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manuel G. Scotto +3 more
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Universal-dephasing-noise injection via Schrödinger-wave autoregressive moving-average models
Physical Review Research, 2022 We present and validate a method for noise injection of arbitrary spectra in quantum circuits that can be applied to any system capable of executing arbitrary single qubit rotations, including cloud-based quantum processors.
Andrew Murphy +12 more
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Frequency-Domain Trajectory Planning for Autonomous Driving in Highly Dynamic Scenarios
Applied SciencesTrajectory planning is a central problem in autonomous driving, requiring long-horizon reasoning, strict safety guarantees, and robustness to rare but critical events.
Jie Xia +5 more
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AxiomsStandard Bayesian autoregressive changepoint models can become unstable near sample boundaries. As a candidate changepoint approaches either edge of the series, the local residual degrees of freedom shrink, producing a Gamma-function singularity in the ...
Jibin Yang, Maozai Tian, Fuguo Liu
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The Grid Bootstrap and the Autoregressive Model [PDF]
Review of Economics and Statistics, 1999 A “grid” bootstrap method is proposed for confidence-interval construction, which has improved performance over conventional bootstrap methods when the sampling distribution depends upon the parameter of interest. The basic idea is to calculate the bootstrap distribution over a grid of values of the parameter of interest and form the confidence ...
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