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Forecasting Pathogen Dynamics with Bayesian Model-Averaging: Application to Xylella fastidiosa

Bulletin of mathematical biology, 2023-07, Vol.85 (7), p.67-67, Article 67

2023

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A Bayesian approach for inferring the dynamics of partially observed endemic infectious diseases from space-time-genetic data

Proceedings of the Royal Society. B, Biological sciences, 2014-05, Vol.281 (1782), p.20133251

2014

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Dating and localizing an invasion from post-introduction data and a coupled reaction–diffusion–absorption model

Journal of mathematical biology, 2019-07, Vol.79 (2), p.765-789

2019

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Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases

Philosophical transactions of the Royal Society of London. Series B. Biological sciences, 2019-06, Vol.374 (1775), p.20180258

2019

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A statistical-reaction–diffusion approach for analyzing expansion processes

Journal of theoretical biology, 2011-04, Vol.274 (1), p.43-51

2011

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Using genetic data to estimate diffusion rates in heterogeneous landscapes

Journal of mathematical biology, 2016-08, Vol.73 (2), p.397-422

2016

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Patchy patterns due to group dispersal

Journal of theoretical biology, 2011-02, Vol.271 (1), p.87-99

2011

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Mechanical-Statistical Modeling in Ecology: From Outbreak Detections to Pest Dynamics

Bulletin of mathematical biology, 2009-02, Vol.71 (2), p.318-338

2009

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A Continuous Time-and-State Epidemic Model Fitted to Ordinal Categorical Data Observed on a Lattice at Discrete Times

Journal of agricultural, biological, and environmental statistics, 2013-12, Vol.18 (4), p.538-555

2013

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Model-based estimation of the link between the daily survival probability and a time-varying covariate, application to mosquitofish survival data

Mathematical biosciences, 2007-12, Vol.210 (2), p.508-522

2007

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Forecasting Pathogen Dynamics with Bayesian Model-Averaging: Application to Xylella fastidiosa

A Bayesian approach for inferring the dynamics of partially observed endemic infectious diseases from space-time-genetic data

Dating and localizing an invasion from post-introduction data and a coupled reaction–diffusion–absorption model

Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases

A statistical-reaction–diffusion approach for analyzing expansion processes

Using genetic data to estimate diffusion rates in heterogeneous landscapes

Patchy patterns due to group dispersal

Mechanical-Statistical Modeling in Ecology: From Outbreak Detections to Pest Dynamics

A Continuous Time-and-State Epidemic Model Fitted to Ordinal Categorical Data Observed on a Lattice at Discrete Times

Model-based estimation of the link between the daily survival probability and a time-varying covariate, application to mosquitofish survival data

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