J. Cano

发表

Classes of bidimensional priors specified on a collection of set: Bayesian robustness

E. Moreno, J. Cano, 1995 .

Local robustness and influence for contamination classes of prior distributions

E. Moreno, J. Cano, C. Martínez, 1996 .

Integral priors for the one way random effects model

Mathieu Kessler, J. Cano, D. Salmerón, 2007 .

Robustness of the posterior mean in normal hierarchical models

Juan Antonio Cano, J. Cano, 1993 .

Objective Bayesian Analysis of an Exponential Regression Model with Constrained Parameters Applied to Animal Digestibility

Juan Antonio Cano, J. Cano, D. Salmerón, 2007 .

Monte Carlo error in the Bayesian estimation of risk ratios using log-binomial regression models: an efficient MCMC method

J. Cano, Diego Salmer'on, 2014, 1404.0042.

Bayesian model selection approach to the one way analysis of variance under homoscedasticity

J. Cano, D. Salmerón, C. Carazo, 2012, Computational Statistics.

Robust Bayesian Analysis with ϵ‐Contaminations Partially Known

Juan Antonio Cano, Elías Moreno, E. Moreno, 1991 .

An overview of robust Bayesian analysis

James O. Berger, Christian P. Robert, Larry Wasserman, 1994 .

Bayesian model selection approach to the one way analysis of variance under homoscedasticity

J. A. Cano, D. Salmerón, C. Carazo, 2013, Comput. Stat..

On intrinsic priors for nonnested models

Mathieu Kessler, Elías Moreno, E. Moreno, 2004 .

Reducing Monte Carlo error in the Bayesian estimation of risk ratios using log‐binomial regression models

Diego Salmerón, Juan A Cano, María D Chirlaque, 2015, Statistics in medicine.

Statistica Sinica Preprint No : SS13-338 R 2 Title Objective Bayesian hypothesis testing in binomial regression models with integral prior distributions

Diego Salmeron, Juan Antonio Cano, C. P. Robert, 2014 .

Integral Priors and Constrained Imaginary Training Samples for Nested and Non-nested Bayesian Model Comparison

J. Cano, D. Salmerón, 2013 .

Local Gastrointestinal Injury Exacerbates Inflammation and Dopaminergic Cell Death in Parkinsonian Mice

M. Herrero, J. Cano, C. Estrada, 2019, Neurotoxicity Research.

A probabilistic model for analysing the effect of performance levels on visual behaviour patterns of young sailors in simulated navigation

Juan Antonio Cano, Francisco Segado, Aarón Manzanares, 2015, European journal of sport science.

Objective Bayesian model selection approach to the two way analysis of variance

J. A. Cano, D. Salmerón, C. Carazo, 2018, Comput. Stat..

Objective Bayesian hypothesis testing in binomial regression models with integral prior distributions

J. Cano, D. Salmerón, Christian P. Robert, 2013, 1306.6928.

Integral equation solutions as prior distributions for model selection

J. Cano, Robert, S. D., 2005 .

Monte Carlo error in the Bayesian estimation of risk ratios using log-binomial regression models: an efficient MCMC method

J. Cano, Diego Salmer'on, 2014, 1404.0042.

A probabilistic model for analysing the effect of performance levels on visual behaviour patterns of young sailors in simulated navigation

J. Cano, D. Salmerón, F. Segado, 2015, European journal of sport science.

Approximation of the posterior density for diffusion processes

Juan Antonio Cano, Mathieu Kessler, Mathieu Kessler, 2006 .