Results 21 to 30 of about 11,390,317 (261)
Mathematics, 2020 Adding a linear trend in regressions is a frequent detrending method in economic literatures. The traditional literatures pointed out that if the variable considered is a difference-stationary process, then it will artificially create pseudo-periodicity ...
Zhiming LONG, Rémy HERRERA
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Domains and stochastic processes
Theoretical Computer Science, 2020 arXiv admin note: substantial text overlap with arXiv:1607 ...
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On the Trackability of Stochastic Processes
CoRR, 2020 We consider the problem of tracking an unstable stochastic process $X_t$ by using causal knowledge of another stochastic process $Y_t$. We obtain necessary conditions and sufficient conditions for maintaining a finite tracking error. We provide necessary conditions as well as sufficient conditions for the success of this estimation, which is defined as
Baran Tan Bacinoglu +2 more
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Zhileng xuebao, 2023 Reasonable optimization of the operation strategy is essential for saving energy in the long-term operation of heat pump systems. However, the strategy optimization process is susceptible to load uncertainty, which causes the optimized strategy to save ...
Liu Chengning +3 more
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Runoff as a Stochastic Process
International Journal of Mathematics and Computers in Simulation, 2022 Runoff stationary critical flow is investigated as a stochastic process by means of two routing simulation models, a stream confluence, which has beens interpreted as a Marcus- Lushnikov coalescence process, and a channel splitting model, which has ben interpreted as a Markov chain over a regular tree.
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Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection
Entropy, 2018 We propose a definition of entropy for stochastic processes. We provide a reproducing kernel Hilbert space model to estimate entropy from a random sample of realizations of a stochastic process, namely functional data, and introduce two approaches to ...
Gabriel Martos +3 more
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IEEE Access, 2020 The integrated energy system (IES) with various energy demands and distributed energy resources has been a significant approach to improve the efficiency of energy utilization.
Yijin Li +4 more
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Stochastic simulation of woven composites forming [PDF]
, 1995 A stochastic forming simulation procedure is developed and implemented to investigate the effect of geometric variability in pre-impregnated woven textiles on manufacturing. Image analysis is used to characterise variability in tow directions and unit
Waal, de, H. +6 more
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Exponential integrability of stochastic convolutions [PDF]
, 2003 Sucient conditions are found for stochastic convolution integrals driven by a Wiener process in a Hilbert space to belong to the Orlicz space expL2; standard exponential tail estimates follow from these results.
Seidler, Jan, Sobukawa, Takuya
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CoRR, 2016 Stochastic partition models tailor a product space into a number of rectangular regions such that the data within each region exhibit certain types of homogeneity. Due to constraints of partition strategy, existing models may cause unnecessary dissections in sparse regions when fitting data in dense regions.
Xuhui Fan 0001 +4 more
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