Articles with "distributions based" as a keyword



Nonparametric predictive distributions based on conformal prediction

Sign Up to like & get
recommendations!
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… read more here.

Keywords: conformal prediction; distributions based; based conformal; nonparametric predictive ... See more keywords
Photo by tamiminaser from unsplash

On the Bayesian inference of Kumaraswamy distributions based on censored samples

Sign Up to like & get
recommendations!
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… read more here.

Keywords: bayesian inference; censored samples; kumaraswamy distributions; distributions based ... See more keywords
Photo by tamiminaser from unsplash

Discrete distributions based on inter arrival times with application to football data

Sign Up to like & get
recommendations!
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… read more here.

Keywords: inter arrival; distributions based; football data; discrete distributions ... See more keywords

A Comparison of MLE for Some Index Distributions Based on Censored Samples

Sign Up to like & get
recommendations!
Published in 2024 at "Mathematics"

DOI: 10.3390/math12203264

Abstract: This paper elucidates the prerequisites for maximum likelihood estimation (MLE) of parameters within the exponential and scale parameter families. Estimation of these parameters is predicated on data derived from censored samples and seeks to adhere… read more here.

Keywords: censored samples; index distributions; comparison mle; distributions based ... See more keywords