Search results for author Luigi Spezia

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Result count: 25

To appear:

Category: "Refereed journal"

Spezia, L. Modelling covariance matrices by the trigonometric separation strategy with application to hidden Markov models. Test.


Category: "Refereed journal"

Birkel, C., Helliwell, R., Thornton, B., Cooper, P., Soulsby, C., Tetzlaff, D., Spezia, L. and Midwood, A.J. (2018). Characterization of surface water isoscapes in a heterogeneous environment: The case of Scotland. Journal of Geochemical Exploration 194, 71-80.

Spezia, L., Friel, N. and Gimona, A. (2017). Spatial hidden Markov models and species distributions. Journal of Applied Statistics 45, 1596-1615.

Spezia, L., Brewer, M.J. and Birkel, C. (2017). An anisotropic and inhomogeneous hidden Markov model for the classification of water quality spatio-temporal time series on a national scale: The case of Scotland. Environmetrics 28, e2427.

Pinto, C. and Spezia, L. (2016). Markov switching autoregressive models for interpreting vertical movement datawith application to an endangered marine apex predator. Methods in Ecology and Evolution 7(4), 407-417.

Poggio, L., Gimona, A., Spezia, L. and Brewer, M.J. (2016). Bayesian spatial modelling of soil properties and their uncertainty: the example of soil organic matter in Scotland using INLA. Geoderma 277, 69-82.

Elston, D.A., Spezia, L., Baines, D. and Redpath, S. (2014). Working with stakeholders to reduce conflict - modelling the impact of varying hen harrier Circus cyaneus densities on red grouse Lagopus lagopus populations. Journal of Applied Ecology 51, 1236-1245.

Spezia, L., Cooksley, S., Brewer, M.J., Donnelly, D. and Tree, A. (2014). Mapping species distributions in one dimension by non-homogeneous hidden Markov models: freshwater pearl mussels in the River Dee. Environmental and Ecological Statistics 21, 487-505.

Spezia, L., Cooksley, S., Brewer, M.J., Donnelly, D. and Tree, A. (2014). Modelling species abundance in a river by negative binomial hidden Markov models. Computational Statistics and Data Analysis 71, 599-614.

Birkel, C., Soulsby, C., Tetzlaff, D., Dunn, S.M. and Spezia, L. (2012). High-frequency storm event isotope sampling reveals time-variant transit time distributions and influence of diurnal cycles. Hydrological Processes 26, 308-316.

Birkel, C., Paroli, R., Spezia, L., Dunn, S.M., Tetzlaff, D. and Soulsby, C. (2012). A new approach to simulating stream isotope dynamics using Markov switching autoregressive models. Advances in Water Resources 46, 20-30.

Cooksley, S., Brewer, M.J., Donnelly, D., Spezia, L. and Tree, A. (2012). Impacts of artificial structures on the freshwater pearl mussel Margaritifera margaritifera in the River Dee, Scotland. Aquatic Conservation: Marine and Freshwater Ecosystems 22, 318-330.

Spezia, L., Futter, M.N. and Brewer, M.J. (2011). Periodic multivariate Normal hidden Markov models for the analysis of water quality time series. Environmetrics 22, 304-317.

Paroli, R. and Spezia, L. (2010). Reversible jump MCMC methods and segmentation algorithms in hidden Markov models. Australian & New Zealand Journal of Statistics 52, 151-166.

Spezia, L. (2010). Bayesian analysis of multivariate Gaussian hidden Markov models with an unknown number of components. Journal of Time Series Analysis 31, 1-11.

Spezia, L. (2009). Reversible jump and the label switching problem in hidden Markov models. Journal of Statistical Planning and Inference 139, 2305-2315.

Paroli, R. and Spezia, L. (2008). Bayesian variable selection in Markov mixture models. Communications in Statistics - Simulation and Computation 37, 25-47.

Paroli, R. and Spezia, L. (2008). Bayesian inference in non-homogeneous Markov mixture of periodic autoregressions with state-dependent exogenous variables. Computational Statistics and Data Analysis 52, 2311 - 2330.

Spezia, L. and Paroli, R. (2008). Bayesian inference and forecasting in neural networks with fully Markov switching ARCH noises. Communications in Statistics-Theory and Methods 37, 2079-2094.

Spezia, L. (2006). Bayesian analysis of non-homogeneous hidden Markov models. Journal of Statistical Computation and Simulation 76, 713-725.

Spezia, L., Paroli, R. and Dellaportas, P. (2004). Periodic Markov switching autoregressive models for Bayesian analysis and forecasting of air pollution. Statistical Modelling: An International Journal 4, 19-39.

Deldossi, L., Paroli, R. and Spezia, L. (2002). Hidden chain reconstruction, missing observation restoration, multistep forecasting by means of Markov switching autoregressive models. Statistica Applicata 14, 227-246.

Paroli, R. and Spezia, L. (2002). Seasonal autoregressions with regime switching. Statistica 63, 517-536.

Paroli, R. and Spezia, L. (2002). Parameter estimation of Gaussian hidden Markov models when missing observations occur. Metron 60, 165-181.

Category: "Book Chapter"

Poggio, L., Gimona, A., Spezia, L. and Brewer, M.J. (2016). Example of Bayesian uncertainty for Digital Soil Mapping. In "Digital Soil Mapping Across Paradigms, Scales and Boundaries". Eds. Zhang, G.-L., Brus, D., Liu, F., Song, X.-D., Lagacherie, P.. Springer, Singapore.

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