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Finite Lag Estimation of Non-Markovian Processes

Journal of Financial Econometrics
Abstract We consider the quasi-maximum likelihood estimator (qmle) obtained by replacing each transition density in the correct likelihood for a non-Markovian, stationary process by a transition density with a fixed number of lags. This estimator is of interest because it is asymptotically equivalent to the efficient method of moments ...
A Ronald Gallant, Halbert L White
openaire   +1 more source

Reachable Set Estimation of Delayed Markovian Jump Neural Networks Based on an Improved Reciprocally Convex Inequality

IEEE Transactions on Neural Networks and Learning Systems, 2022
Guoqiang Tan, Zhanshan Wang
exaly  

Non-Markovian temperature sensing

Physical Review Research, 2021
Ze-Zhou Zhang
exaly  

Machine Learning Non-Markovian Quantum Dynamics

Physical Review Letters, 2020
S V Vintskevich, Sergey N Filippov
exaly  

Non-fragile state estimation for discrete Markovian jumping neural networks

Neurocomputing, 2016
Nan Hou, Hongli Dong, Zidong Wang
exaly  

Dynamics of non-Markovian open quantum systems

Reviews of Modern Physics, 2017
Inés De Vega, Daniel Alonso
exaly  

Colloquium: Non-Markovian dynamics in open quantum systems

Reviews of Modern Physics, 2016
, Elsi-Mari Laine, Jyrki Piilo
exaly  

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