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Published in 2018 at "Machine Learning"
DOI: 10.1007/s10994-018-5755-8
Abstract: This paper applies conformal prediction to derive predictive distributions that are valid under a nonparametric assumption. Namely, we introduce and explore predictive distribution functions that always satisfy a natural property of validity in terms of…
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Keywords:
conformal prediction;
distributions based;
based conformal;
nonparametric predictive ... See more keywords
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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1193197
Abstract: ABSTRACT In this article we discuss Bayesian estimation of Kumaraswamy distributions based on three different types of censored samples. We obtain Bayes estimates of the model parameters using two different types of loss functions (LINEX…
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Keywords:
bayesian inference;
censored samples;
kumaraswamy distributions;
distributions based ... See more keywords
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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1300284
Abstract: ABSTRACT Motivated by McShane, Adrian, Bradlow and Fader [Journal of Business and Economic Statistics, 26, 2008, 369–378], we introduce thirteen discrete distributions. We give explicit expressions for their probability mass functions. We analyze two football…
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Keywords:
inter arrival;
distributions based;
football data;
discrete distributions ... See more keywords