Results 71 to 80 of about 830,323 (220)
Accelerated training of max-margin Markov networks with kernels [PDF]
Theoretical Computer Science, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Xinhua +2 more
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Lévy Interest Rate Models with a Long Memory
Risks, 2021 This article proposes an interest rate model ruled by mean reverting Lévy processes with a sub-exponential memory of their sample path. This feature is achieved by considering an Ornstein–Uhlenbeck process in which the exponential decaying kernel is ...
Donatien Hainaut
doaj +1 more source
Kernel estimators of asymptotic variance for adaptive Markov chain Monte Carlo
, 2011 We study the asymptotic behavior of kernel estimators of asymptotic variances (or long-run variances) for a class of adaptive Markov chains. The convergence is studied both in $L^p$ and almost surely.
Atchadé, Yves F.
core +2 more sources
ISPRS International Journal of Geo-Information, 2019 With the accelerated urbanization process, cities are suffering from extremely heavy rain and urban storm water logging disasters in recent years. To provide reliable and effective information for urban management and emergency decision-making, the ...
Yanmei Wang +4 more
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An adaptive Markov chain algorithm applied over map-matching of vehicle trip GPS data
Geo-spatial Information Science, 2021 Markov chains have frequently been applied to match the probable routes with a set of GPS trip data that a pilot vehicle is emitting over a specific graph road network.
Bilge Kaan Karamete +2 more
doaj +1 more source
Ecological Indicators, 2021 Understanding the spatiotemporal heterogeneities of PM2.5 reduction efficiency (PRE) and their driving factors are substantially critical for the atmospheric environmental governance.
Ke-Liang Wang +4 more
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Triangular norm-based measures and their Markov kernel representation
, 1991 We approach the problem whether left-continuous triangular norm-based valuations (called T -measures or T -probability measures) defined on triangular normbased tribes of the unit cube can be disintegrated by Markov kernels. We prove that each T -measure
D. Butnariu, E. Klement
semanticscholar +1 more source
Bayesian nonparametric analysis of reversible Markov chains [PDF]
, 2013 We introduce a three-parameter random walk with reinforcement, called the $(\theta,\alpha,\beta)$ scheme, which generalizes the linearly edge reinforced random walk to uncountable spaces.
Bacallado, Sergio +2 more
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Ain Shams Engineering JournalThe price of gold is crucial to the world’s financial and economic systems; hence precise estimation of gold prices is essential. The current study proposes a hybrid Markov Weighted Fuzzy Kernel Time Series framework for gold price prediction, together ...
Gijy S. Pillai, M. Immaculate Mary
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Representative Points Based on Power Exponential Kernel Discrepancy
Axioms, 2022 Representative points (rep-points) are a set of points that are optimally chosen for representing a big original data set or a target distribution in terms of a statistical criterion, such as mean square error and discrepancy.
Zikang Xiong +3 more
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