Nonparametric binary regression using a Gaussian process prior (original) (raw)
2007, Statistical Methodology
visibility
…
description
17 pages
link
1 file
Sign up to get access to over 50M papers
Related papers
2015
Prediction of non-stationary response functions using a Bayesian composite Gaussian process
Computational Statistics & Data Analysis, 2021
Online Sparse Matrix Gaussian Process Regression and Vision Applications
Lecture Notes in Computer Science, 2008
Nonparametric Econometrics: Theory and Practice
European Review of Agricultural Economics, 2008
Pseudo-Marginal Bayesian Inference for Gaussian Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
Non-linear regression models for Approximate Bayesian Computation
Statistics and Computing, 2009
Nonparametric estimation of covariance functions by model selection
Electronic Journal of Statistics, 2010
Robust nonparametric estimation for functional data
Journal of Nonparametric Statistics, 2008
The OSCAR for Generalized Linear Models
2011
An Introduction to Statistical Learning from a Regression Perspective
Handbook of Quantitative Criminology, 2009
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.
Related papers
Efficiency of generalized estimating equations for binary responses
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2004
A Semiparametric Binary Regression Model Involving Monotonicity Constraints
Scandinavian Journal of Statistics, 2006
Nonparametric Bayesian Volatility Estimation
SSRN Electronic Journal, 2018
Nonparametric Estimation of Distributions in Random Effects Models
Journal of Computational and Graphical Statistics, 2011
Nonparametric Bayesian inference for stochastic processes with piecewise constant priors
arXiv (Cornell University), 2023
Bayesian selection of multiresponse nonlinear regression model
Statistics, 2008
Semi-parametric regression: Efficiency gains from modeling the nonparametric part
2011
Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models
International Journal of Forecasting, 2013
Modeling and estimation of discrete-time Gaussian reciprocal processes
Automatic Control, IEEE …, 1990
Sequential model selection method for nonparametric autoregression
Sequential Analysis, 2019
Scalable Nonparametric Multiway Data Analysis
Introduction to Nonlinear Regression
2010
Generalized smooth monotonic regression
2005
Fast Direct Methods for Gaussian Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
A note on regression to the mean
Social biology, 1975
Bayesian nonparametric estimation in a series system or a competing-risks model
Journal of Nonparametric Statistics, 2002
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
2012
Testing for random individual and time effects using a Gauss-Newton regression
Economics Letters, 1996
Local Linear Regression Estimator on the Boundary Correction in Nonparametric Regression Estimation
Journal of Statistical Theory and Applications, 2020
Large-scale Gaussian process classification using random decision forests
Pattern Recognition and Image Analysis, 2012
Modelling Gene Expression Dynamics with Gaussian Process Inference
Handbook of Statistical Genomics, 2019
Gaussian process regression with functional covariates and multivariate response
Chemometrics and Intelligent Laboratory Systems, 2017
Generalized Linear Gaussian Cluster-Weighted Modeling
2012
Bayesian Semiparametric Multivariate GARCH Modeling
Social Science Research Network, 2012
Biomass estimation in batch biotechnological processes by Bayesian Gaussian process regression
Computers & Chemical Engineering, 2008
Related topics
MathematicsStatisticsLatent variableSimulation StudyStatistical MethodologyGaussian ProcessBayes estimatorPosterior distributionGibbs SamplerBayesian approach