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Bayesian regularisation in geoadditive expectile regression

https://doi.org/10.1007/s11222-016-9703-9

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-34333-9openalex-snapshot

Regression

inferredcites →https://doi.org/10.1007/s11222-009-9158-3openalex-snapshot

Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection

inferredcites →https://doi.org/10.1007/s11222-011-9297-1openalex-snapshot

On confidence intervals for semiparametric expectile regression

inferredcites →https://doi.org/10.1016/j.csda.2004.10.011openalex-snapshot

Generalized structured additive regression based on Bayesian P-splines

inferredcites →https://doi.org/10.1016/j.csda.2009.05.002openalex-snapshot

Optimal expectile smoothing

inferredcites →https://doi.org/10.1016/j.csda.2010.05.006openalex-snapshot

Bayesian inference for additive mixed quantile regression models

inferredcites →https://doi.org/10.1016/j.csda.2010.11.015openalex-snapshot

Geoadditive expectile regression

inferredcites →https://doi.org/10.1016/j.jeconom.2009.01.001openalex-snapshot

Quantiles, expectiles and splines

inferredcites →https://doi.org/10.1016/s0167-7152(01)00124-9openalex-snapshot

Bayesian quantile regression

inferredcites →https://doi.org/10.1016/s0304-4076(03)00100-3openalex-snapshot

An MCMC approach to classical estimation

inferredcites →https://doi.org/10.1080/00949655.2010.496117openalex-snapshot

Gibbs sampling methods for Bayesian quantile regression

inferredcites →https://doi.org/10.1080/00949655.2012.695374openalex-snapshot

A coordinate majorization descent algorithm for ℓ1penalized learning

inferredcites →https://doi.org/10.1080/00949655.2013.876024openalex-snapshot

Nonparametric multiple expectile regression via ER-Boost

inferredcites →https://doi.org/10.1080/10485259608832675openalex-snapshot

Asymmetric least squares regression estimation: A nonparametric approach

inferredcites →https://doi.org/10.1080/10618600.2015.1062014openalex-snapshot

Zero Expectile Processes and Bayesian Spatial Regression

inferredcites →https://doi.org/10.1093/biomet/81.4.673openalex-snapshot

Quantile Smoothing Splines

inferredcites →https://doi.org/10.1093/biostatistics/kxp049openalex-snapshot

Flexible Bayesian quantile regression for independent and clustered data

inferredcites →https://doi.org/10.1093/jjfinec/nbn001openalex-snapshot

Estimating Value at Risk and Expected Shortfall Using Expectiles

inferredcites →https://doi.org/10.1093/jjfinec/nbu022openalex-snapshot

Bayesian Expected Shortfall Forecasting Incorporating the Intraday Range

inferredcites →https://doi.org/10.1111/j.1467-9876.2012.01050.xopenalex-snapshot

Estimating the Relationship Between Women's Education and Fertility in Botswana by Using an Instrumental Variable Approach to Semiparametric Expectile Regression

inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot

Regression Shrinkage and Selection Via the Lasso

inferredcites →https://doi.org/10.1111/mafi.12080openalex-snapshot

COHERENCE AND ELICITABILITY

inferredcites →https://doi.org/10.1177/1471082x13480650openalex-snapshot

Bayesian semiparametric additive quantile regression

inferredcites →https://doi.org/10.1177/1471082x14561155openalex-snapshot

Expectile and quantile regression—David and Goliath?

inferredcites →https://doi.org/10.1198/jasa.2011.ap09272openalex-snapshot

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression

inferredcites →https://doi.org/10.1214/12-ba708openalex-snapshot

Spatial Quantile Multiple Regression Using the Asymmetric Laplace Process

inferredcites →https://doi.org/10.1214/ss/1038425655openalex-snapshot

Flexible smoothing with B-splines and penalties

inferredcites →https://doi.org/10.2139/ssrn.2123083openalex-snapshot

Posterior Consistency of Bayesian Quantile Regression Under a Mis-Specified Likelihood Based on Asymmetric Laplace Density

inferredcites →https://doi.org/10.2307/1911031openalex-snapshot

Asymmetric Least Squares Estimation and Testing

inferredcites →https://doi.org/10.2307/1913643openalex-snapshot

Regression Quantiles

inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot

R: A Language and Environment for Statistical Computing

inferredcites →https://doi.org/10.5282/ubm/epub.1626openalex-snapshot

Semiparametric Analysis of the Socio-Demographic and Spatial Determinants of Undernutrition in Two African Countries

inferredcites →https://doi.org/10.5860/choice.51-4494openalex-snapshot

Regression: models, methods and applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3660526openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.3881181openalex-extracted

When is an Expectile the Best Linear Unbiased Estimator?

inferred← citeshttps://doi.org/10.2139/ssrn.4126460openalex-extracted

The Asymmetric Normal Distribution That Elicits Expectiles

inferred← citeshttps://doi.org/10.2139/ssrn.4302896openalex-extracted

Quasi-Maximum Likelihood Estimation for Conditional Expectiles

inferred← citeshttps://doi.org/10.1002/bimj.202100355openalex-snapshot

M‐quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality

inferred← citeshttps://doi.org/10.1002/cjs.70018openalex-snapshot

Bayesian weighted composite linear expectile regression

inferred← citeshttps://doi.org/10.1002/env.70085openalex-snapshot

Estimating the Impact of Socioeconomic Drivers on Land Degradation in Italy via Spatio‐Temporal Additive Expectile Regression

inferred← citeshttps://doi.org/10.1002/sim.70219openalex-snapshot

Bayesian Expectile Joint Model With Varying Coefficient for Longitudinal and Semi‐Competing Risks Data

inferred← citeshttps://doi.org/10.1007/978-3-031-96033-8_48openalex-snapshot

Two-Part Expectile Regression Models for Longitudinal Data: An Application to Students’ Academic Performance

inferred← citeshttps://doi.org/10.1007/978-3-319-65331-0_3openalex-snapshot

Estimating and Assessing Distributional Regression

inferred← citeshttps://doi.org/10.1007/s00180-020-01003-0openalex-snapshot

KLERC: kernel Lagrangian expectile regression calculator

inferred← citeshttps://doi.org/10.1007/s10462-023-10698-8openalex-snapshot

A review of predictive uncertainty estimation with machine learning

inferred← citeshttps://doi.org/10.1007/s11222-023-10377-2openalex-snapshot

Expectile hidden Markov regression models for analyzing cryptocurrency returns

inferred← citeshttps://doi.org/10.1016/j.ecoinf.2023.102085openalex-snapshot

Embracing asymmetry in nature: How to account for skewness in ecological data

inferred← citeshttps://doi.org/10.1016/j.ecosta.2019.03.001openalex-snapshot

Adaptive semiparametric M-quantile regression

inferred← citeshttps://doi.org/10.1016/j.ecosta.2021.07.006openalex-snapshot

Rage Against the Mean – A Review of Distributional Regression Approaches

inferred← citeshttps://doi.org/10.1080/00949655.2023.2182304openalex-snapshot

Iteratively reweighted least square for kernel expectile regression with random features

inferred← citeshttps://doi.org/10.1080/02664763.2020.1787355openalex-snapshot

An elastic-net penalized expectile regression with applications

inferred← citeshttps://doi.org/10.1080/02664763.2021.1957789openalex-snapshot

A new GEE method to account for heteroscedasticity using asymmetric least-square regressions

inferred← citeshttps://doi.org/10.1080/02664763.2021.1962262openalex-snapshot

Shrinkage estimation of fixed and random effects in linear quantile mixed models

inferred← citeshttps://doi.org/10.1080/03610918.2026.2688382openalex-snapshot

Bayesian Lasso and adaptive Lasso expectile regression

inferred← citeshttps://doi.org/10.1080/03610926.2020.1841793openalex-snapshot

Asymmetric influence measure for high dimensional regression

inferred← citeshttps://doi.org/10.1080/07474938.2021.1899505openalex-snapshot

The MLE of Aigner, Amemiya, and Poirier is not the Expectile MLE

inferred← citeshttps://doi.org/10.1111/rssc.12452openalex-snapshot

M-Quantile Regression for Multivariate Longitudinal Data with an Application to the Millennium Cohort Study

inferred← citeshttps://doi.org/10.1177/1471082x241279513openalex-snapshot

Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market

inferred← citeshttps://doi.org/10.12688/f1000research.174712.1openalex-snapshot

Bayesian expectile regression with single-index models

inferred← citeshttps://doi.org/10.3390/sym14081538openalex-snapshot

Double Penalized Expectile Regression for Linear Mixed Effects Model

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