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  • Search: subject:"Markov and semi-Markov processes"
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Year of publication
Subject
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Asymptotic behaviour 2 Bootstrap 2 Local variance 2 Markov and semi-Markov processes 2 Markov and semi-Markov processes with rewards 2 Permutation test 2 Primary 90C47 2 Secondary 60J27 2 Spatial autocorrelation 2 Variance of cumulative reward 2 Weighted networks 2 Autocorrelation 1 Autokorrelation 1 Bootstrap approach 1 Bootstrap-Verfahren 1 Markov chain 1 Markov-Kette 1 Moran's I 1 Moran’s I 1 Regional economics 1 Regionalökonomik 1 Räumliche Interaktion 1 Spatial filering 1 Spatial filtering 1 Spatial interaction 1 Statistical test 1 Statistischer Test 1 Theorie 1 Theory 1
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Undetermined 4
Type of publication
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Article 4
Type of publication (narrower categories)
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Aufsatz im Buch 1 Book section 1 Conference paper 1 Konferenzbeitrag 1
Language
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Undetermined 3 English 1
Author
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Bavaud, François 2 Sladký, Karel 2
Published in...
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Computational Statistics 1 Journal of Geographical Systems 1 Mathematical Methods of Operations Research 1 Spatial econometric interaction modelling 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Testing spatial autocorrelation in weighted networks : the modes permutation test
Bavaud, François - In: Spatial econometric interaction modelling, (pp. 67-83). 2016
Persistent link: https://www.econbiz.de/10011529899
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Testing spatial autocorrelation in weighted networks: the modes permutation test
Bavaud, François - In: Journal of Geographical Systems 15 (2013) 3, pp. 233-247
In a weighted spatial network, as specified by an exchange matrix, the variances of the spatial values are inversely proportional to the size of the regions. Spatial values are no more exchangeable under independence, thus weakening the rationale for ordinary permutation and bootstrap tests of...
Persistent link: https://www.econbiz.de/10010867916
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On mean reward variance in semi-Markov processes
Sladký, Karel - In: Computational Statistics 62 (2005) 3, pp. 387-397
As an extension of the discrete-time case, this note investigates the variance of the total cumulative reward for the embedded Markov chain of semi-Markov processes. Under the assumption that the chain is aperiodic and contains a single class of recurrent states recursive formulae for the...
Persistent link: https://www.econbiz.de/10010847602
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On mean reward variance in semi-Markov processes
Sladký, Karel - In: Mathematical Methods of Operations Research 62 (2005) 3, pp. 387-397
As an extension of the discrete-time case, this note investigates the variance of the total cumulative reward for the embedded Markov chain of semi-Markov processes. Under the assumption that the chain is aperiodic and contains a single class of recurrent states recursive formulae for the...
Persistent link: https://www.econbiz.de/10010999646
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