Items where Author, Editor or other role is "Santos, Bruno"

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Number of items: 10.

2023

Mussino, Eleonora, Santos, Bruno R., Monti, Andrea, Matechou, Eleni, Drefahl, Sven (2023) Multiple systems estimation for studying over-coverage and its heterogeneity in population registers. Quality & Quantity, . (KAR id:103270)

2020

Santos, Bruno, Kneib, Thomas (2020) Noncrossing structured additive multiple-output Bayesian quantile regression models. Statistics and Computing, 30 (4). pp. 855-869. ISSN 0960-3174. E-ISSN 1573-1375. (doi:10.1007/s11222-020-09925-x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90520)

2018

Santos, Bruno R., Kneib, Thomas (2018) Structured additive multiple-output noncrossing Bayesian quantile regression models. In: Proceedings of the 33rd International Workshop on Statistical Modelling. 1. Statistical Modelling Society (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90517)

Santos, Bruno R., Bolfarine, Heleno (2018) Bayesian quantile regression analysis for continuous data with a discrete component at zero. Statistical Modelling, 18 (1). pp. 73-93. ISSN 1471-082X. E-ISSN 1477-0342. (doi:10.1177/1471082X17719633) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90516)

2015

Santos, Bruno R., Bolfarine, Heleno (2015) Analysis of Brazil’s presidential election via Bayesian spatial quantile regression. In: Proceedings of the 30th International Workshop on Statistical Modelling. 2. pp. 247-248. Johannes Kepler University Linz (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90515)

Santos, Bruno R., Elian, Silvia N. (2015) Influence Measures in Quantile Regression Models. Communications in Statistics - Theory and Methods, 44 (9). pp. 1842-1853. ISSN 0361-0926. E-ISSN 1532-415X. (doi:10.1080/03610926.2013.799699) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90514)

Santos, Bruno R., Bolfarine, Heleno (2015) Bayesian analysis for zero-or-one inflated proportion data using quantile regression. Journal of Statistical Computation and Simulation, 85 (17). pp. 3579-3593. ISSN 0094-9655. E-ISSN 1563-5163. (doi:10.1080/00949655.2014.986733) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90513)

2014

Alencar, A.P., Santos, B.R. (2014) Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of São Paulo, Brazil. Environmetrics, 25 (3). pp. 165-171. ISSN 1180-4009. E-ISSN 1099-095X. (doi:10.1002/env.2274) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90503)

2013

Santos, Bruno R., Bolfarine, Heleno (2013) A two-part model using quantile regression under a Bayesian perspective. In: Proceedings of the 28th International Workshop on Statistical Modelling. . pp. 363-374. Statistical Modelling Society ISBN 978-88-96251-47-8. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90495)

2012

Santos, Bruno R., Elian, Silvia N. (2012) Analysis of residuals in quantile regression: an application to income data in Brazil. In: Proceedings of the 27th International Workshop on Statistical Modelling. . pp. 723-728. Statistical Modelling Society ISBN 978-80-263-0250-6. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90494)

This list was generated on Thu May 2 19:20:43 2024 BST.