Power link functions in an ordinal regression model with Gaussian process priors-Reference-Cited by-同舟云学术

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Power link functions in an ordinal regression model with Gaussian process priors

Published:2019-03-07 Issue:6 Volume:30 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Li D.¹,Wang X.²,Dey D. K.³

Affiliation:

1. Alzheimer's Therapeutic Research InstituteKeck School of Medicine, University of Southern California San Diego California

2. Division of Statistics and Data Science, Department of Mathematical SciencesUniversity of Cincinnati Cincinnati Ohio

3. Department of StatisticsUniversity of Connecticut Storrs Connecticut

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2564

Reference39 articles.

1. Bayesian Analysis of Binary and Polychotomous Response Data

2. Stan: A Probabilistic Programming Language

3. Bayesian analysis for correlated ordinal data models;Chen M.‐H.,2000

4. Additive cubic spline regression with Dirichlet process mixture errors

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1. A projection‐based Laplace approximation for spatial latent variable models;Environmetrics;2021-09-02

2. Downstream Water Level Prediction of Reservoir based on Convolutional Neural Network and Long Short-Term Memory Network;Journal of Water Resources Planning and Management;2021-09

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