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An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models

Environmetrics (London, Ont.), 2021-12, Vol.32 (8), p.n/a

2021

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Bayesian prior modeling in vector autoregressions via the Yule-Walker equations

Communications in statistics. Theory and methods, 2024-04, Vol.53 (14), p.5230-5247

Spezia, Luigi

2024

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Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method

Computational statistics & data analysis, 2020-03, Vol.143, p.106840, Article 106840

Spezia, Luigi

2020

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Modelling covariance matrices by the trigonometric separation strategy with application to hidden Markov models

Test (Madrid, Spain), 2019-06, Vol.28 (2), p.399-422

Spezia, Luigi

2019

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Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach

Computational statistics, 2024-09

2024

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Bayesian joint longitudinal models for assessing the exploitation rates of sardine stock in the Mediterranean Sea

Stochastic environmental research and risk assessment, 2024-04, Vol.38 (4), p.1635-1646

2024

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High-frequency storm event isotope sampling reveals time-variant transit time distributions and influence of diurnal cycles

Hydrological processes, 2012-01, Vol.26 (2), p.308-316

2012

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Bayesian analysis of high-frequency water temperature time series through Markov switching autoregressive models

Environmental modelling & software : with environment data news, 2023-09, Vol.167, p.105751, Article 105751

2023

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Citizen science evidence from the past century shows that Scottish rivers are warming

The Science of the total environment, 2019-04, Vol.659, p.53-65

2019

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Bayesian spatial modelling of soil properties and their uncertainty: The example of soil organic matter in Scotland using R-INLA

Geoderma, 2016-09, Vol.277, p.69-82

2016

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Reversible jump and the label switching problem in hidden Markov models

Journal of statistical planning and inference, 2009-07, Vol.139 (7), p.2305-2315

Spezia, Luigi

2009

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Bayesian analysis of multivariate Gaussian hidden Markov models with an unknown number of regimes

Journal of time series analysis, 2010-01, Vol.31 (1), p.1-11

Spezia, Luigi

2010

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Spatial hidden Markov models and species distributions

Journal of applied statistics, 2018-07, Vol.45 (9), p.1595-1615

2018

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Markov switching autoregressive models for interpreting vertical movement data with application to an endangered marine apex predator

Methods in ecology and evolution, 2016-04, Vol.7 (4), p.407-417

2016

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An anisotropic and inhomogeneous hidden Markov model for the classification of water quality spatio‐temporal series on a national scale: The case of Scotland

Environmetrics (London, Ont.), 2017-02, Vol.28 (1), p.np-n/a

2017

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Bayesian analysis of multivariate Gaussian hidden Markov models with an unknown number of regimes: BAYESIAN ANALYSIS OF HIDDEN MARKOV MODELS

Journal of time series analysis, 2010-01, Vol.31 (1), p.1-11

Spezia, Luigi

2010

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Bayesian inference in non-homogeneous Markov mixtures of periodic autoregressions with state-dependent exogenous variables

Computational statistics & data analysis, 2008-01, Vol.52 (5), p.2311-2330

2008

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Working with stakeholders to reduce conflict – modelling the impact of varying hen harrier C ircus cyaneus densities on red grouse L agopus lagopus populations

The Journal of applied ecology, 2014-10, Vol.51 (5), p.1236-1245

2014

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Working with stakeholders to reduce conflict – modelling the impact of varying hen harrier Circus cyaneus densities on red grouse Lagopus lagopus populations

The Journal of applied ecology, 2014-10, Vol.51 (5), p.1236-1245

2014

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Characterization of surface water isotope spatial patterns of Scotland

Journal of geochemical exploration, 2018-11, Vol.194, p.71-80

2018

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Bayesian analysis of non-homogeneous hidden Markov models

Journal of statistical computation and simulation, 2006-08, Vol.76 (8), p.713-725

Spezia, Luigi

2006

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Bayesian Variable Selection in Markov Mixture Models

Communications in statistics. Simulation and computation, 2008-01, Vol.37 (1), p.25-47

2008

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A new approach to simulating stream isotope dynamics using Markov switching autoregressive models

Advances in water resources, 2012-09, Vol.46, p.20-30

2012

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Bayesian Inference and Forecasting in Dynamic Neural Networks with Fully Markov Switching ARCH Noises

Communications in statistics. Theory and methods, 2008-05, Vol.37 (13), p.2079-2094

2008

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Impacts of artificial structures on the freshwater pearl mussel Margaritifera margaritifera in the River Dee, Scotland

Aquatic conservation, 2012-05, Vol.22 (3), p.318-330

2012

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An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models

Bayesian prior modeling in vector autoregressions via the Yule-Walker equations

Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method

Modelling covariance matrices by the trigonometric separation strategy with application to hidden Markov models

Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach

Bayesian joint longitudinal models for assessing the exploitation rates of sardine stock in the Mediterranean Sea

High-frequency storm event isotope sampling reveals time-variant transit time distributions and influence of diurnal cycles

Bayesian analysis of high-frequency water temperature time series through Markov switching autoregressive models

Citizen science evidence from the past century shows that Scottish rivers are warming

Bayesian spatial modelling of soil properties and their uncertainty: The example of soil organic matter in Scotland using R-INLA

Reversible jump and the label switching problem in hidden Markov models

Bayesian analysis of multivariate Gaussian hidden Markov models with an unknown number of regimes

Spatial hidden Markov models and species distributions

Markov switching autoregressive models for interpreting vertical movement data with application to an endangered marine apex predator

An anisotropic and inhomogeneous hidden Markov model for the classification of water quality spatio‐temporal series on a national scale: The case of Scotland

Bayesian analysis of multivariate Gaussian hidden Markov models with an unknown number of regimes: BAYESIAN ANALYSIS OF HIDDEN MARKOV MODELS

Bayesian inference in non-homogeneous Markov mixtures of periodic autoregressions with state-dependent exogenous variables

Working with stakeholders to reduce conflict – modelling the impact of varying hen harrier C ircus cyaneus densities on red grouse L agopus lagopus populations

Working with stakeholders to reduce conflict – modelling the impact of varying hen harrier Circus cyaneus densities on red grouse Lagopus lagopus populations

Characterization of surface water isotope spatial patterns of Scotland

Bayesian analysis of non-homogeneous hidden Markov models

Bayesian Variable Selection in Markov Mixture Models

A new approach to simulating stream isotope dynamics using Markov switching autoregressive models

Bayesian Inference and Forecasting in Dynamic Neural Networks with Fully Markov Switching ARCH Noises

Impacts of artificial structures on the freshwater pearl mussel Margaritifera margaritifera in the River Dee, Scotland

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