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Replication Data for: Nonparametric Ideal-Point Estimation and Inference

NIAID Data Ecosystem2026-03-10 收录

理想点估计

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数据链接：

https://doi.org/10.7910/DVN/WIRN6R 数据链接链接失效反馈

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资源简介：

Replication code and data to accompany "Nonparametric Ideal-Point Estimation and Inference."

应用场景：

创建时间：

2017-10-24

理想点估计

贝叶斯统计

Many conventional ideal point estimation techniques are inappropriate when only a limited number of votes are available. This paper presents a covariate-based random-effects Bayesian approach that all

DataONE2015-04-11 更新90

Replication Data for: Anchors Away: A New Approach for Estimating Ideal Points Comparable across Time and Chambers

政治科学

理想点估计

Replication Data and Code for \"Anchors Away: A New Approach for Estimating Ideal Points Comparable across Time and Chambers\"

DataONE2016-01-22 更新70

Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors

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回归评估

The weighted nearest neighbors (WNN) estimator has been popularly used as a flexible and easy-to-implement nonparametric tool for mean regression estimation. The bagging technique is an elegant way to

DataCite Commons2022-10-05 更新50

Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors

非参数推断

Replication Data for: Nonparametric Ideal-Point Estimation and Inference

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