Results 221 to 230 of about 406,411 (253)

Parametric Quantile Beta Regression Model

International Statistical Review
SummaryIn this paper, we develop a fully parametric quantile regression model based on the generalised three‐parameter beta (GB3) distribution. Beta regression models are primarily used to model rates and proportions. However, these models are usually specified in terms of a conditional mean.
Marcelo Bourguignon, Diego I. Gallardo, Helton Saulo   +2 more
openaire   +1 more source

Partial Least Squares Regression for Beta Regression Models

2021
International ...
Bertrand, Frédéric, Maumy-Bertrand, Myriam   +1 more
openaire   +2 more sources

Sparse linear regression with beta process priors

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
A Bayesian approximation to finding the minimum l 0 norm solution for an underdetermined linear system is proposed that is based on the beta process prior. The beta process linear regression (BP-LR) model finds sparse solutions to the underdetermined model y = Φx + ɛ, by modeling the vector x as an element-wise product of a non-sparse weight vector, w,
Bo Chen 0001, John W. Paisley, Lawrence Carin   +2 more
openaire   +1 more source

Detecting Model Misspecification in Inflated Beta Regressions

Communications in Statistics - Simulation and Computation, 2013
Beta regression models are useful for modeling data that assume values in the standard unit interval (0, 1), such as rates and proportions. These models, however, cannot be used when the data contain observations that equal zero or one (the limits of the unit interval).
Tarciana Liberal Pereira, Francisco Cribari-Neto   +1 more
openaire   +1 more source

Beta regression misspecification tests

Journal of Statistical Planning and Inference
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Cribari-Neto, Francisco, Santana-e-Silva, José Jairo, Vasconcellos, Klaus L. P.   +2 more
openaire   +1 more source

Beta Regression Tendencies: Statistical and Real Causes

The Journal of Finance, 1979
THE TENDENCY FOR ORDINARY least squares beta estimates to regress towards one over successive time periods is by now a familiar empirical phenomenon. The regression tendency is due in part to estimation error, termed the "order bias" by Blume [1]. After correction of beta estimates for order bias, any remaining regression can be attributed to real ...
Elgers, Pieter T, Haltiner, James R, Hawthorne, William H   +2 more
openaire   +1 more source

Kernel PLS Beta Regressions

2021
International ...
Bertrand, Frédéric, Maumy-Bertrand, Myriam, Meyer, Nicolas   +2 more
openaire   +2 more sources

Bayesian beta regression with Bayesianbetareg R-package

Computational Statistics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Edilberto Cepeda Cuervo, Daniel Jaimes, Margarita Marín, Javier Rojas   +3 more
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Multiple deletion diagnostics in beta regression models

Computational Statistics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Comparison of Beta Regression and Copula Regression for Partial Lapse Rate Estimate

In actuarial analysis, it is very useful to analyze the behavior of an interval-bounded random variable, as a percentage, a proportion, or a fraction, conditioned to other explanatory variables. For this kind of variables, considering the presence of bounds, in general in (0,1), the estimate of the conditional mean and/or conditional quantiles is more ...
Baione, Fabio, Biancalana, Davide, Santoro, Andrea   +2 more
openaire   +2 more sources