Concerning the FBST

Victor Coscrato, Luís Gustavo Esteves, Rafael Izbicki, Rafael Bassi Stern (2019). Interpretable hypothesis tests. arxiv:1904.06605

Rafael Izbicki, Luiz Gustavo Esteves (2015). Logical consistency in simultaneous statistical test procedures. Logic J. IGPL 23, 732-758. doi:10.1093/jigpal/jzv027

Gustavo Miranda da Silva, Luis Gustavo Esteves, Victor Fossaluza, Rafael Izbicki, Sergio Wechsler (2015). A Bayesian decision-theoretic approach to logically-consistent hypothesis testing. Entropy 17, 10, 6534-6559 doi:1099-4300/17/10/6534

Carlos Alberto de Bragança Pereira; Julio Michael Stern (2020). The e-value: A Fully Bayesian Significance Measure for Precise Statistical Hypotheses and its Research Program. Sao Paulo Journal of Mathematical Sciences. doi:10.1007/s40863-020-00171-7

Stefano Cabras, Walter Racugno, Laura Ventura (2015). Higher order asymptotic computation of Bayesian significance tests for precise null hypotheses in the presence of nuisance parameters. J. Stat. Comput. Simul. 85, 15, 2989-3001.

Giulia Ranzato, Laura Ventura (2018). Biostatistica Bayesiana con “Matching Priors”. Università degli Studi di Padova, Dipartimento di Scienze Statistiche.

Erlis Ruli, Nicola Sartori, Laura Ventura (2020). Robust approximate Bayesian inference. J. Stat. Plan. Inference, 205, 10-22.

Erlis Ruli, Laura Ventura (2020). Can Bayesian, confidence distribution and frequentist inference agree? Stat. Methods Appl.

Laura Ventura, Erlis Ruli, Walter Racugno (2013). A note on approximate Bayesian credible sets based on modified loglikelihood ratios. Stat. Probab. Lett. 83, 11, 2467-2472.

Laura Ventura, Nancy Reid (2014). Approximate Bayesian computation with modified log-likelihood ratios. METRON 72, 231-245.

Laura Ventura, Walter Racugno (2016). Pseudo-likelihoods for Bayesian inference. In: DiBattista, T., Moreno, E., Racugno, W. (eds). Topics on Methodological and Applied Statistical Inference, pp. 205-220. Berlin, Springer.

Laura Ventura, Anna Pinto (2012). Approssimazioni Asintotiche de Ordine Elevato per Verifiche d’Ipotesi Bayesiane.

D. Chakrabarty (2009). CHASSIS – Inverse Modelling of Relaxed Dynamical Systems. In: 18th World IMACS / MODSIM Congress, Cairns, Australia.

L.L.R.RIFO, S.TORRES (2009). Full Bayesian Analysis for a Class of Jump-Diffusion Models. Communications in Statistics-Theory and Methods, 38: 1262-1271.

D. Chakrabarty (2009). Different Tracers Give Different Gravitational Mass Distributions In: Astronomy & Astrophysics manuscript no.ms aa June 29,2009

R.H.Loschi, C.C.Santos, R.B.Arellano-Valle (2009). Combining Bayesian Procedures for Testing.

R.Johnson, D.Chakrabarty, E.O’Sullivan, S.Raychaudhury (2009). Comparing X-ray and Dynamical Mass Profiles in The Early-Type Galaxy NGC 4636 In: The Astrophysical Journal 706

R.H.Loschi, J.V.D.Monteiro, G.H.M.A.Rocha, V.D.Mayrink (2007). Testing and Estimating the Non-Disjunction Fraction in Meiosis I using Reference Priors. Biometrical Journal 49, Art.: DOI200610364/Loschi et al.

J.Rodrigues (2006). Full Bayesian Significance Test for Zero-Inflated Distributions. Communications in Statistics-Theory and Methods, 35: 299-307.

M.R.Madruga, L.G.Esteves, S.Wechsler (2001). On the Bayesianity of Pereira-Stern tests. Test, 10, 2.

Lindely Letter (p.1 and p.2): Lindley06p1, Lindley06p2.