Search Results - subject:"Parameterisation"

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Partial identification of heteroskedastic structural VARs: Theory and Bayesian inference

Lütkepohl, Helmut; Shang, Fei; Uzeda, Luis; Woźniak, … - 2024

We consider structural vector autoregressions identified through stochastic volatility. Our focus is on whether a particular structural shock is identified by heteroskedasticity without the need to impose any sign or exclusion restrictions. Three contributions emerge from our exercise: (i) a set...

Persistent link: https://www.econbiz.de/10014530293

Partial identification of heteroskedastic structural VARs : theory and Bayesian inference

Lütkepohl, Helmut; Shang, Fei; Uzeda, Luis; Woźniak, … - 2024

Persistent link: https://www.econbiz.de/10014528602

Contour parallel tool path planning based on conformal parameterisation utilising mapping stretch factors

Xu, Chen-Yang; Li, Jing Rong; Wang, Qing Hui; Hu, Guang-Hua - In: International journal of production research 57 (2019) 1, pp. 1-15

Persistent link: https://www.econbiz.de/10012183539

Reference priors for discrete graphical models

Consonni, Guido; Leucari, Valentina - 2005

suitable mixed parameterisation for a discrete decomposable graphical model and derive the corresponding reference prior. …

Persistent link: https://www.econbiz.de/10010326096

Introducing and evaluating a Gibbs sampler for spatial Poisson regression models

Gschlößl, Susanne; Czado, Claudia - 2005

models and give details of the resulting Gibbs sampler. In particular, the influence of model parameterisation and different …

Persistent link: https://www.econbiz.de/10010266145

Does a Gibbs sampler approach to spatial Poisson regression models outperform a single site MH sampler?

Gschlößl, Susanne; Czado, Claudia - 2005

particular, the influence of model parameterisation and different update strategies on the mixing of the MCMC chains is discussed … policyholders of a German car insurance company. The mixing of the Gibbs samplers depends crucially on the model parameterisation …

Persistent link: https://www.econbiz.de/10010266205

Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood

Bartolucci, Francesco; Solis-Trapala, Ivonne - In: Psychometrika 75 (2010) 4, pp. 725-743

Persistent link: https://www.econbiz.de/10008775723

The Life-Cycle Income Analysis Model (LIAM): a study of a flexible dynamic microsimulation modelling computing framework

O'Donoghue, Cathal; Lennon, John; Hynes, Stephen - In: International Journal of Microsimulation 2 (2009) 1, pp. 16-31

-cycle Income Analysis Model (LIAM). The principle computing characteristics include the degree of modularisation, parameterisation … parameterisation, alignment and computational efficiency. …

Persistent link: https://www.econbiz.de/10009371310

Influence of different land-surface processes on Indian summer monsoon circulation

Singh, A.; Mohanty, U.; Sinha, P.; Mandal, M. - In: Natural Hazards 42 (2007) 2, pp. 423-438

The impact of different land-surface parameterisation schemes for the simulation of monsoon circulation during a normal … monsoon year over India has been analysed. For this purpose, three land-surface parameterisation schemes, the NoaH, the Multi … land-surface parameterisation schemes, latent and sensible heat fluxes and rainfall were estimated over the Indian region …

Persistent link: https://www.econbiz.de/10010846915

Methodology to assess the hydrological impact of weed control practices with a view to management of Mediterranean winegrowing catchments

Biarnes, Anne; Colin, Francois - In: International Journal of Sustainable Development 9 (2006) 2, pp. 161-179

This paper proposes a methodology to assist water resources managers in assessing the hydrological impact of weed control practices in Mediterranean winegrowing catchments. The methodology is based on a spatial representation of practices and its integration in a distributed hydrologic model....

Persistent link: https://www.econbiz.de/10005754401