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On the prediction of p-stationary processes

Periodica Mathematica Hungarica, 2022
The author studies properties of \(p\)-stationary discrete time stochastic processes \(\{X_k,k\in\mathbb{Z}\}\).
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On Natural and Predictable Processes

Sankhya A, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Predictive discrimination for autoregressive processes

Pattern Recognition Letters, 1988
Summary: A predictive method for discriminating between distinct univariate autoregressive classes is derived. The predictive classification rule is derived for the case of known class order, and a rule is given for the case where the orders of the competing autoregressive processes are unknown.
Virgil R. Marco   +2 more
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Predictive Processing

2018
This chapter provides an introduction to predictive processing (PP), with a focus on its relation to Bayesian inference and the more general framework provided by Karl Friston’s free-energy principle (FEP). Philosophical implications of PP and FEP are discussed.
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Process and Prediction

Philosophy, 1965
Traditional definitions of determinism in terms of causation seem nowadays to have been largely superseded by accounts in terms of predictability. If it were true that all and only caused events were predictable then doctrines of universal causation and universal predictability would be equivalent and it would only remain to ask what advantages if any ...
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Predictive Control of Nonlinear Processes

IFAC Proceedings Volumes, 1991
Abstract In this paper a predictive controller for a class of nonlinear processes is proposed. An application to a highly nonlinear process, a pH process, is discussed by simulations and realtime experiments. It is shown that the nonlinear predictive controller yields a robust and well performing control system.
A.R.M. Soeterboek   +3 more
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On prediction of moving-average processes

Advances in Applied Probability, 1980
Let {X n } be a discrete-time stationary moving-average process having the representation where the real-valued process (Y n ) has a well-defined entropy and spectrum. Let ∊∗2 k denote the smallest mean-squared error of any estimate of X n based on observations of X n–1 , X n–2 , …, X n–k , and let ∊∗2 klin , be the corresponding least mean-squared ...
Shepp, L. A., Slepian, D., Wyner, A. D.
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On improvement of prediction in arma processes

Series Statistics, 1981
Necessary and sufficient conditions are derived in the paper that enable to decide whether an additional multivariate process will improve the prediction in a given multivariate discrete stationary process. The both processes are assumed to form together a process ARMAm n Further it was investigated wnen one can asser t that the both processes are ...
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Predicting Process Behavior in WoMan

2016
In addition to the classical exploitation as a means for checking process enactment conformance, process models may be precious for making various kinds of predictions about the process enactment itself e.g., which activities will be carried out next, or which of a set of candidate processes is actually being executed.
Stefano Ferilli   +3 more
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Attention alters predictive processing

Behavioral and Brain Sciences, 2016
AbstractFirestone & Scholl (F&S) bracket many attentional effects as “peripheral,” altering the inputs to a cognitive process without altering the processing itself. By way of contrast, I highlight an emerging class of neurocomputational models that imply profound, pervasive, nonperipheral influences of attention on perception.
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