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Uncertainty quantification and atmospheric source estimation with a discrepancy-based and a state-dependent adaptative MCMC

Environmental pollution (1987), 2021-12, Vol.290, p.118039-118039, Article 118039

2021

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Variational Bayesian Lasso for spline regression

Computational statistics, 2024-06, Vol.39 (4), p.2039-2064

2024

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Variational inference for Bayesian bridge regression

Statistics and computing, 2024-02, Vol.34 (1), Article 13

2024

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Stochastic models for greenhouse gas emission rate estimation from hydroelectric reservoirs: a Bayesian hierarchical approach

Journal of applied statistics, 2012-05, Vol.39 (5), p.1069-1086

2012

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Bayesian inference and wind field statistical modeling applied to multiple source estimation

Environmental pollution (1987), 2023-03, Vol.321, p.121061-121061, Article 121061

2023

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Unsupervised Bayesian classification for models with scalar and functional covariates

Journal of the Royal Statistical Society Series C: Applied Statistics, 2024-06, Vol.73 (3), p.658-681

2024

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Dynamic Quantile Linear Models: A Bayesian Approach

Bayesian analysis, 2020-06, Vol.15 (2)

2020

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A review of Bayesian dynamic forecasting models: Applications in marketing

Applied stochastic models in business and industry, 2023-05, Vol.39 (3), p.471-493

2023

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Estimating the number of atmospheric releases and other parameters by Bayesian inference

Air quality, atmosphere and health, 2024-05, Vol.17 (5), p.1007-1019

2024

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Objective Bayesian analysis for the Student-t regression model

Biometrika, 2008-06, Vol.95 (2), p.325-333

2008

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Revisiting distributed lag models through a Bayesian perspective

Applied stochastic models in business and industry, 2006-03, Vol.22 (2), p.193-210

2006

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A dynamic linear model with extended skew-normal for the initial distribution of the state parameter

Computational statistics & data analysis, 2014-06, Vol.74, p.64-80

2014

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Multivariate dynamic regression: modeling and forecasting for intraday electricity load

Applied stochastic models in business and industry, 2013-11, Vol.29 (6), p.579-598

2013

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Generalized linear models with random effects in the two-parameter exponential family

Journal of statistical computation and simulation, 2014-03, Vol.84 (3), p.513-525

2014

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Space-time modeling of rainfall data

Environmetrics (London, Ont.), 2004-09, Vol.15 (6), p.561-576

2004

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A joint model for rainfall–runoff: The case of Rio Grande Basin

Journal of hydrology (Amsterdam), 2008-05, Vol.353 (1), p.189-200

2008

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Dynamic Hierarchical Models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 1993, Vol.55 (3), p.629-642

1993

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Objective Bayesian analysis for exponential power regression models

Sankhyā. Series B (2008), 2012-05, Vol.74 (1), p.107-125

2012

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Modelling zero-inflated spatio-temporal processes

Statistical modelling, 2009-03, Vol.9 (1), p.3-25

2009

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Dynamic Generalized Linear Models and Bayesian Forecasting

Journal of the American Statistical Association, 1985-03, Vol.80 (389), p.73-83

1985

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Bayesian outlier analysis in binary regression

Journal of applied statistics, 2010-08, Vol.37 (8), p.1355-1368

2010

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Hierarchical Bayesian models applied to air surveillance radars

European journal of operational research, 2008-02, Vol.184 (3), p.1155-1162

2008

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An efficient sampling scheme for dynamic generalized models

Computational statistics, 2013-10, Vol.28 (5), p.2267-2293

2013

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Bayesian modeling of financial returns: A relationship between volatility and trading volume

Applied stochastic models in business and industry, 2010-03, Vol.26 (2), p.172-193

2010

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Hierarchical Bayesian collective risk model: an application to health insurance

Insurance, mathematics & economics, 2005-04, Vol.36 (2), p.119-135

2005

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Uncertainty quantification and atmospheric source estimation with a discrepancy-based and a state-dependent adaptative MCMC

Variational Bayesian Lasso for spline regression

Variational inference for Bayesian bridge regression

Stochastic models for greenhouse gas emission rate estimation from hydroelectric reservoirs: a Bayesian hierarchical approach

Bayesian inference and wind field statistical modeling applied to multiple source estimation

Unsupervised Bayesian classification for models with scalar and functional covariates

Dynamic Quantile Linear Models: A Bayesian Approach

A review of Bayesian dynamic forecasting models: Applications in marketing

Estimating the number of atmospheric releases and other parameters by Bayesian inference

Objective Bayesian analysis for the Student-t regression model

Revisiting distributed lag models through a Bayesian perspective

A dynamic linear model with extended skew-normal for the initial distribution of the state parameter

Multivariate dynamic regression: modeling and forecasting for intraday electricity load

Generalized linear models with random effects in the two-parameter exponential family

Space-time modeling of rainfall data

A joint model for rainfall–runoff: The case of Rio Grande Basin

Dynamic Hierarchical Models

Objective Bayesian analysis for exponential power regression models

Modelling zero-inflated spatio-temporal processes

Dynamic Generalized Linear Models and Bayesian Forecasting

Bayesian outlier analysis in binary regression

Hierarchical Bayesian models applied to air surveillance radars

An efficient sampling scheme for dynamic generalized models

Bayesian modeling of financial returns: A relationship between volatility and trading volume

Hierarchical Bayesian collective risk model: an application to health insurance

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