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  • Search: subject:"Count Time Series"
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Year of publication
Subject
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count time series 12 Count time series 11 Time series analysis 11 Zeitreihenanalyse 11 Forecasting model 6 Prognoseverfahren 6 Theorie 6 Theory 6 Gaussian approximation 5 Estimation theory 4 Schätztheorie 4 Generalisiertes lineares Modell 3 Generalized linear model 3 binomial thinning 3 estimation error 3 Autocorrelation 2 Bivariate negative-binomial distribution 2 Diagnostic tests 2 Iterated thinning 2 NB-IINAR(1) model 2 Overdispersion 2 Risikomaß 2 Risk measure 2 Stein identity 2 Value at Risk 2 coherent forecasting 2 compounding operation 2 expected shortfall 2 expectiles 2 forecasting 2 mid quantiles 2 predictive performance 2 quantile forecasts 2 self-generalized property 2 tail conditional expectation 2 thinning operators 2 value at risk 2 ARCH model 1 ARCH-Modell 1 Additive outliers 1
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Online availability
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Free 14 Undetermined 9 CC license 1
Type of publication
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Article 22 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 11 Aufsatz in Zeitschrift 11 Article 8
Language
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English 21 Undetermined 3
Author
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Weiß, Christian H. 6 Alwan, Layth C. 5 Frahm, Gabriel 5 Göb, Rainer 5 Homburg, Annika 5 Weiß, Christian 4 Aleksandrov, Boris 3 Faymonville, Maxime 2 Jentsch, Carsten 2 Joe, Harry 2 Nik, Simon 2 Agosto, Arianna 1 Aknouche, Abdelhakim 1 Almohaimeed, Bader S. 1 Azzimonti, Dario Filippo 1 Beaumont, Adrian 1 Biswas, Atanu 1 Cabani, Adnane 1 Cabani, Iyadh 1 Corani, Giorgio 1 Das, Samarjit 1 De Turck, Koen 1 Dimitrakopoulos, Stefanos 1 Dungey, Mardi H. 1 Elsaied, Hanan 1 Feld, Martin 1 Fried, Roland 1 Harris, David 1 Jahn, Malte 1 Jung, Robert 1 Kieffer, Michel 1 Maiti, Raju 1 Martin, Gael M. 1 Martin, Vance 1 McCabe, Brendan P.M. 1 Nguyen, Thi-Thu-Tam 1 Rubattu, Nicolò 1 Scherer, Lukas 1 Snyder, Ralph D. 1 Tang, Chrismin 1
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Institution
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Department of Econometrics and Business Statistics, Monash Business School 2
Published in...
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AStA Advances in Statistical Analysis 3 Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet 3 Econometrics 2 Econometrics : open access journal 2 Metrika 2 Monash Econometrics and Business Statistics Working Papers 2 International journal of forecasting 1 International journal of production research 1 Journal of Forecasting 1 Journal of Risk and Financial Management 1 Journal of forecasting 1 Journal of risk and financial management : JRFM 1 Journal of the Operational Research Society 1 Journal of time series econometrics 1 METRON 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
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Source
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ECONIS (ZBW) 11 EconStor 8 RePEc 5
Showing 1 - 10 of 24
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Probabilistic reconciliation of count time series
Corani, Giorgio; Azzimonti, Dario Filippo; Rubattu, Nicolò - In: International journal of forecasting 40 (2024) 2, pp. 457-469
Persistent link: https://www.econbiz.de/10014547169
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Goodness-of-fit testing in bivariate count time series based on a bivariate dispersion index
Wang, Huiqiao; Weiß, Christian H.; Zhang, Mingming - In: AStA Advances in Statistical Analysis 109 (2024) 2, pp. 241-279
A common choice for the marginal distribution of a bivariate count time series is the bivariate Poisson distribution …
Persistent link: https://www.econbiz.de/10015436487
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Modelling and diagnostic tests for Poisson and negative-binomial count time series
Aleksandrov, Boris; Weiß, Christian H.; Nik, Simon; … - In: Metrika 87 (2023) 7, pp. 843-887
When modelling unbounded counts, their marginals are often assumed to follow either Poisson (Poi) or negative binomial (NB) distributions. To test such null hypotheses, we propose goodness-of-fit (GoF) tests based on statistics relying on certain moment properties. By contrast to most approaches...
Persistent link: https://www.econbiz.de/10015198562
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Modelling and diagnostic tests for Poisson and negative-binomial count time series
Aleksandrov, Boris; Weiß, Christian H.; Nik, Simon; … - In: Metrika 87 (2023) 7, pp. 843-887
When modelling unbounded counts, their marginals are often assumed to follow either Poisson (Poi) or negative binomial (NB) distributions. To test such null hypotheses, we propose goodness-of-fit (GoF) tests based on statistics relying on certain moment properties. By contrast to most approaches...
Persistent link: https://www.econbiz.de/10015400903
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Multivariate score-driven models for count time series with application to credit risk
Agosto, Arianna - In: Journal of the Operational Research Society 76 (2025) 5, pp. 829-843
Persistent link: https://www.econbiz.de/10015551633
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Load prediction of parcel pick-up points : model-driven vs data-driven approaches
Nguyen, Thi-Thu-Tam; Cabani, Adnane; Cabani, Iyadh; De … - In: International journal of production research 62 (2024) 11, pp. 4046-4075
Persistent link: https://www.econbiz.de/10014547202
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Artificial neural networks and time series of counts : a class of nonlinear INGARCH models
Jahn, Malte - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 28 (2024) 5, pp. 751-765
Persistent link: https://www.econbiz.de/10015437658
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Analysis and forecasting of risk in count processes
Homburg, Annika; Weiß, Christian; Frahm, Gabriel; … - In: Journal of risk and financial management : JRFM 14 (2021) 4, pp. 1-25
Persistent link: https://www.econbiz.de/10012522289
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On robust estimation of negative binomial INARCH models
Elsaied, Hanan; Fried, Roland - In: METRON 79 (2021) 2, pp. 137-158
We discuss robust estimation of INARCH models for count time series, where each observation conditionally on its past …
Persistent link: https://www.econbiz.de/10014501775
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Analysis and forecasting of risk in count processes
Homburg, Annika; Weiß, Christian H.; Frahm, Gabriel; … - In: Journal of Risk and Financial Management 14 (2021) 4, pp. 1-25
even if methods from count time series analysis are used in an adequate manner, the performance of risk forecasting is … measures and count time series models. It becomes clear that Gaussian approximate risk forecasts substantially distort risk … bootstrap approaches for count time series. The relevance and the application of the proposed approaches are illustrated by real …
Persistent link: https://www.econbiz.de/10012611739
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