Items where Author is "Heller, Gillian Z."
BAMLSS
Stasinopoulos, Dimitrios M., Kneib, Thomas, Klein, Nadja, Mayr, Andreas and Heller, Gillian Z. (2024) Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications. Cambridge Series in Statistical and Probability Mathematics, 56 . Cambridge University Press, Cambridge, UK. ISBN 978-1009410069 (doi:10.1017/9781009410076)
Box-Cox t distribution
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
centile estimation
Merder, Julian ORCID: https://orcid.org/0000-0002-5958-7016, Rigby, Robert A.
ORCID: https://orcid.org/0000-0003-4787-623X, Mayr, Andreas
ORCID: https://orcid.org/0000-0001-7106-9732, Heller, Gillian Z.
ORCID: https://orcid.org/0000-0003-1270-1499, Kneib, Thomas
ORCID: https://orcid.org/0000-0003-3390-0972, Umlauf, Nikolaus
ORCID: https://orcid.org/0000-0003-2160-9803, De Bastiani, Fernanda
ORCID: https://orcid.org/0000-0001-8532-639X, Stauffer, Reto
ORCID: https://orcid.org/0000-0002-3798-5507, Tonkin, Jonathan D.
ORCID: https://orcid.org/0000-0002-6053-291X, Logothetis, Nikos, Zeileis, Achim
ORCID: https://orcid.org/0000-0003-0918-3766 and Stasinopoulos, Dimitrios M.
(2026)
Distributional regression using generalized additive models for location, scale and shape.
Nature Reviews Methods Primers, 6:49.
ISSN 2662-8449 (Online)
(doi:10.1038/s43586-026-00498-z)
distributional regression
Merder, Julian ORCID: https://orcid.org/0000-0002-5958-7016, Rigby, Robert A.
ORCID: https://orcid.org/0000-0003-4787-623X, Mayr, Andreas
ORCID: https://orcid.org/0000-0001-7106-9732, Heller, Gillian Z.
ORCID: https://orcid.org/0000-0003-1270-1499, Kneib, Thomas
ORCID: https://orcid.org/0000-0003-3390-0972, Umlauf, Nikolaus
ORCID: https://orcid.org/0000-0003-2160-9803, De Bastiani, Fernanda
ORCID: https://orcid.org/0000-0001-8532-639X, Stauffer, Reto
ORCID: https://orcid.org/0000-0002-3798-5507, Tonkin, Jonathan D.
ORCID: https://orcid.org/0000-0002-6053-291X, Logothetis, Nikos, Zeileis, Achim
ORCID: https://orcid.org/0000-0003-0918-3766 and Stasinopoulos, Dimitrios M.
(2026)
Distributional regression using generalized additive models for location, scale and shape.
Nature Reviews Methods Primers, 6:49.
ISSN 2662-8449 (Online)
(doi:10.1038/s43586-026-00498-z)
exceedance probabilities
Merder, Julian ORCID: https://orcid.org/0000-0002-5958-7016, Rigby, Robert A.
ORCID: https://orcid.org/0000-0003-4787-623X, Mayr, Andreas
ORCID: https://orcid.org/0000-0001-7106-9732, Heller, Gillian Z.
ORCID: https://orcid.org/0000-0003-1270-1499, Kneib, Thomas
ORCID: https://orcid.org/0000-0003-3390-0972, Umlauf, Nikolaus
ORCID: https://orcid.org/0000-0003-2160-9803, De Bastiani, Fernanda
ORCID: https://orcid.org/0000-0001-8532-639X, Stauffer, Reto
ORCID: https://orcid.org/0000-0002-3798-5507, Tonkin, Jonathan D.
ORCID: https://orcid.org/0000-0002-6053-291X, Logothetis, Nikos, Zeileis, Achim
ORCID: https://orcid.org/0000-0003-0918-3766 and Stasinopoulos, Dimitrios M.
(2026)
Distributional regression using generalized additive models for location, scale and shape.
Nature Reviews Methods Primers, 6:49.
ISSN 2662-8449 (Online)
(doi:10.1038/s43586-026-00498-z)
GAMboostLSS
Stasinopoulos, Dimitrios M., Kneib, Thomas, Klein, Nadja, Mayr, Andreas and Heller, Gillian Z. (2024) Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications. Cambridge Series in Statistical and Probability Mathematics, 56 . Cambridge University Press, Cambridge, UK. ISBN 978-1009410069 (doi:10.1017/9781009410076)
GAMLSS
Merder, Julian ORCID: https://orcid.org/0000-0002-5958-7016, Rigby, Robert A.
ORCID: https://orcid.org/0000-0003-4787-623X, Mayr, Andreas
ORCID: https://orcid.org/0000-0001-7106-9732, Heller, Gillian Z.
ORCID: https://orcid.org/0000-0003-1270-1499, Kneib, Thomas
ORCID: https://orcid.org/0000-0003-3390-0972, Umlauf, Nikolaus
ORCID: https://orcid.org/0000-0003-2160-9803, De Bastiani, Fernanda
ORCID: https://orcid.org/0000-0001-8532-639X, Stauffer, Reto
ORCID: https://orcid.org/0000-0002-3798-5507, Tonkin, Jonathan D.
ORCID: https://orcid.org/0000-0002-6053-291X, Logothetis, Nikos, Zeileis, Achim
ORCID: https://orcid.org/0000-0003-0918-3766 and Stasinopoulos, Dimitrios M.
(2026)
Distributional regression using generalized additive models for location, scale and shape.
Nature Reviews Methods Primers, 6:49.
ISSN 2662-8449 (Online)
(doi:10.1038/s43586-026-00498-z)
Stasinopoulos, Dimitrios M., Kneib, Thomas, Klein, Nadja, Mayr, Andreas and Heller, Gillian Z. (2024) Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications. Cambridge Series in Statistical and Probability Mathematics, 56 . Cambridge University Press, Cambridge, UK. ISBN 978-1009410069 (doi:10.1017/9781009410076)
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
machine learning
Stasinopoulos, Dimitrios M., Kneib, Thomas, Klein, Nadja, Mayr, Andreas and Heller, Gillian Z. (2024) Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications. Cambridge Series in Statistical and Probability Mathematics, 56 . Cambridge University Press, Cambridge, UK. ISBN 978-1009410069 (doi:10.1017/9781009410076)
P-splines
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
prediction interval estimation
Merder, Julian ORCID: https://orcid.org/0000-0002-5958-7016, Rigby, Robert A.
ORCID: https://orcid.org/0000-0003-4787-623X, Mayr, Andreas
ORCID: https://orcid.org/0000-0001-7106-9732, Heller, Gillian Z.
ORCID: https://orcid.org/0000-0003-1270-1499, Kneib, Thomas
ORCID: https://orcid.org/0000-0003-3390-0972, Umlauf, Nikolaus
ORCID: https://orcid.org/0000-0003-2160-9803, De Bastiani, Fernanda
ORCID: https://orcid.org/0000-0001-8532-639X, Stauffer, Reto
ORCID: https://orcid.org/0000-0002-3798-5507, Tonkin, Jonathan D.
ORCID: https://orcid.org/0000-0002-6053-291X, Logothetis, Nikos, Zeileis, Achim
ORCID: https://orcid.org/0000-0003-0918-3766 and Stasinopoulos, Dimitrios M.
(2026)
Distributional regression using generalized additive models for location, scale and shape.
Nature Reviews Methods Primers, 6:49.
ISSN 2662-8449 (Online)
(doi:10.1038/s43586-026-00498-z)
predictions beyond the mean
Merder, Julian ORCID: https://orcid.org/0000-0002-5958-7016, Rigby, Robert A.
ORCID: https://orcid.org/0000-0003-4787-623X, Mayr, Andreas
ORCID: https://orcid.org/0000-0001-7106-9732, Heller, Gillian Z.
ORCID: https://orcid.org/0000-0003-1270-1499, Kneib, Thomas
ORCID: https://orcid.org/0000-0003-3390-0972, Umlauf, Nikolaus
ORCID: https://orcid.org/0000-0003-2160-9803, De Bastiani, Fernanda
ORCID: https://orcid.org/0000-0001-8532-639X, Stauffer, Reto
ORCID: https://orcid.org/0000-0002-3798-5507, Tonkin, Jonathan D.
ORCID: https://orcid.org/0000-0002-6053-291X, Logothetis, Nikos, Zeileis, Achim
ORCID: https://orcid.org/0000-0003-0918-3766 and Stasinopoulos, Dimitrios M.
(2026)
Distributional regression using generalized additive models for location, scale and shape.
Nature Reviews Methods Primers, 6:49.
ISSN 2662-8449 (Online)
(doi:10.1038/s43586-026-00498-z)
quantile estimation
Merder, Julian ORCID: https://orcid.org/0000-0002-5958-7016, Rigby, Robert A.
ORCID: https://orcid.org/0000-0003-4787-623X, Mayr, Andreas
ORCID: https://orcid.org/0000-0001-7106-9732, Heller, Gillian Z.
ORCID: https://orcid.org/0000-0003-1270-1499, Kneib, Thomas
ORCID: https://orcid.org/0000-0003-3390-0972, Umlauf, Nikolaus
ORCID: https://orcid.org/0000-0003-2160-9803, De Bastiani, Fernanda
ORCID: https://orcid.org/0000-0001-8532-639X, Stauffer, Reto
ORCID: https://orcid.org/0000-0002-3798-5507, Tonkin, Jonathan D.
ORCID: https://orcid.org/0000-0002-6053-291X, Logothetis, Nikos, Zeileis, Achim
ORCID: https://orcid.org/0000-0003-0918-3766 and Stasinopoulos, Dimitrios M.
(2026)
Distributional regression using generalized additive models for location, scale and shape.
Nature Reviews Methods Primers, 6:49.
ISSN 2662-8449 (Online)
(doi:10.1038/s43586-026-00498-z)
semi-continuous distribution
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
statistical modelling
Stasinopoulos, Dimitrios M., Kneib, Thomas, Klein, Nadja, Mayr, Andreas and Heller, Gillian Z. (2024) Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications. Cambridge Series in Statistical and Probability Mathematics, 56 . Cambridge University Press, Cambridge, UK. ISBN 978-1009410069 (doi:10.1017/9781009410076)
zero-adjusted distribution
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
zero-heavy distribution
Stasinopoulos, Dimitrios M., Rigby, Robert A., Heller, Gillian Z. and De Bastiani, Fernanda (2023) P-splines and GAMLSS: a powerful combination, with an application to zero-adjusted distributions. Statistical Modelling, 23 (5-6). pp. 510-524. ISSN 1471-082X (Print), 1477-0342 (Online) (doi:10.1177/1471082X231176635)
Up a level