A. Forte

发表

Bayesian joint modeling of bivariate longitudinal and competing risks data: An application to study patient‐ventilator asynchronies in critical care patients

C. Armero, E. Andrinopoulou, M. Rué, 2017, Biometrical journal. Biometrische Zeitschrift.

Criteria for Bayesian model choice with application to variable selection

M. J. Bayarri, J. Berger, A. Forte, 2012, 1209.5240.

What Does Objective Mean in a Dirichlet‐multinomial Process?

C. Armero, D. Alvares, A. Forte, 2018 .

On the drivers of profitability in the banking industry in restructuring times: a Bayesian perspective

A. Forte, Jesús Peiró‐Palomino, Paula Cruz-García, 2020 .

Variable selection in the analysis of energy consumption–growth nexus

Anabel Forte, Gonzalo Garcia-Donato, Mariam Camarero, 2015 .

Subjectivism as an unavoidable feature of ecological statistics

A. Forte, D. Conesa, A. Martínez‐Abraín, 2014 .

Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal PSA data

C. Armero, M. Rué, A. Forte, 2014 .

Local governments' re-election and its determinants: New evidence based on a Bayesian approach

Anabel Forte, Emili Tortosa-Ausina, Maria Teresa Balaguer-Coll, 2015 .

The geography of Spanish bank branches

A. Forte, Emili Tortosa‐Ausina, D. Conesa, 2015 .

Methods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear Regression

Mark F. J. Steel, Anabel Forte, Gonzalo Garcia-Donato, 2018 .

Bayesian Testing, Variable Selection and Model Averaging in Linear Models using R with BayesVarSel

Anabel Forte, Gonzalo Garcia-Donato, A. Forte, 2018, R J..

Methods and Tools for Bayesian Variable Selection and Model Averaging in Univariate Linear Regression

Anabel Forte, Gonzalo Garcia-Donato, Mark Steel, 2016, 1612.02357.

Does Social Capital Matter for European Regional Growth

A. Forte, Jesús Peiró‐Palomino, Emili Tortosa‐Ausina, 2015 .

Short and Long-Term Trainability in Older Adults: Training and Detraining Following Two Years of Multicomponent Cognitive—Physical Exercise Training

A. Forte, P. Monteagudo, C. Blasco-Lafarga, 2020, International journal of environmental research and public health.

Exploring Bayesian models to evaluate control procedures for plant disease

C. Armero, D. Alvares, A. Forte, 2016 .

Bayesian joint modeling for assessing the progression of chronic kidney disease in children

Anabel Forte, Carmen Armero, Hèctor Perpiñán, 2018, Statistical methods in medical research.

Bayesian joint ordinal and survival modeling for breast cancer risk assessment

C Armero, C Forné, M Rué, 2016, Statistics in medicine.

Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data

Danilo Alvares da Silva, N. Chopin, C. Armero, 2017 .

Determinants of local governments' reelection: New evidence based on a Bayesian approach

A. Forte, Emili Tortosa‐Ausina, M. Balaguer-Coll, 2014 .

Bayesian longitudinal models for paediatric kidney transplant recipients

C. Armero, A. Forte, H. Perpiñán, 2016 .

Screening the Discrepancy Function of a Computer Model

Pierre Barbillon, Anabel Forte, Rui Paulo, 2021, 2109.02726.

BayesVarSel: Bayesian Testing, Variable Selection and model averaging in Linear Models using R

Anabel Forte, Gonzalo Garcia-Donato, A. Forte, 2016, 1611.08118.

Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

Carles Serrat, Guadalupe Gómez, Anabel Forte, 2015 .

Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data

Nicolas Chopin, Danilo Alvares, Carmen Armero, 2016 .

New approach for early and specific Alzheimer disease diagnosis from different plasma biomarkers.

A. Forte, C. Peña‐Bautista, M. Baquero, 2024, Clinica chimica acta; international journal of clinical chemistry.

Attention and processing speed tests: Normative data for Spanish-Speaking adults in the United States.

A. Forte, J. Arango-Lasprilla, L. Olabarrieta-Landa, 2024, NeuroRehabilitation (Reading, MA).