Quantum tomography, phase-space observables and generalized Markov kernels [PDF]
Journal of Physics A: Mathematical and Theoretical, 2009 We construct a generalized Markov kernel which transforms the observable associated with the homodyne tomography into a covariant phase space observable with a regular kernel state.
Juha-Pekka Pellonpää
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An Integrated Transportation Distance Between Kernels and Approximate Dynamic Risk Evaluation in Markov Systems [PDF]
SIAM Journal of Control and Optimization, 2023 We introduce a distance between kernels based on the Wasserstein distances between their values, study its properties, and prove that it is a metric on an appropriately defined space of kernels.
Zhengqi Lin, Andrzej Ruszczyński
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KVLMM: A Trajectory Prediction Method Based on a Variable-Order Markov Model With Kernel Smoothing
IEEE Access, 2018 With the dramatic proliferation of global positioning system (GPS) devices, a rich range of research has been conducted on the analysis of GPS trajectories.
Xing Wang +3 more
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Change Detection of Markov Kernels with Unknown Pre and Post Change Kernel [PDF]
2022 IEEE 61st Conference on Decision and Control (CDC), 2022 In this paper, we develop a new change detection algorithm for detecting a change in the Markov kernel over a metric space in which the post-change kernel is unknown.
Hao Chen, Jiacheng Tang, Abhishek Gupta
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Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels [PDF]
, 2014 Monte Carlo algorithms often aim to draw from a distribution $\pi$ by simulating a Markov chain with transition kernel $P$ such that $\pi$ is invariant under $P$.
Pierre Alquier +3 more
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A System of Multivariable Krawtchouk Polynomials and a Probabilistic Application [PDF]
Symmetry, Integrability and Geometry: Methods and Applications, 2011 The one variable Krawtchouk polynomials, a special case of the 2F1 function did appear in the spectral representation of the transition kernel for a Markov chain studied a long time ago by M. Hoare and M. Rahman.
F. Alberto Grünbaum, Mizan Rahman
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Study on the spatial and temporal evolution characteristics and spatial influencing factors of carbon emission intensity in commercial land [PDF]
Scientific ReportsUnder China’s dual carbon strategy, the supporting role of commercial land in achieving this goal should be reconsidered. This paper uses Kernel density estimation and Markov chain analysis to examine the trends in carbon emission intensity of commercial
Nuolan Tian, Lingzhi Tan
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A Hybrid Large-Kernel CNN and Markov Feature Framework for Remaining Useful Life Prediction [PDF]
MachinesRemaining Useful Life (RUL) prediction has become a crucial component in predictive maintenance and condition-based operation with the rapid advancement of industrial automation and the increasing complexity of mechanical systems.
Yuke Wang +4 more
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Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel [PDF]
eLifePredicting an individual’s cognitive traits or clinical condition using brain signals is a central goal in modern neuroscience. This is commonly done using either structural aspects, such as structural connectivity or cortical thickness, or aggregated ...
Christine Ahrends +2 more
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Developing a Strategy for Buying and Selling Stocks Based on Semi-Parametric Markov Switching Time Series Models [PDF]
Iranian Journal of Finance, 2021 The modeling of strategies for buying and selling in Stock Market Investment has been the object of numerous advances and uses in economic studies, both theoretically and empirically.
Hossein Naderi +3 more
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