Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling

DOI10.5705/ss.202020.0303OpenAlexW4200049062MaRDI QIDQ6039876

Zhaojun Wang, Unnamed Author, Haojie Ren, Ping Ma

Publication date: 23 May 2023

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202020.0303

zbMATH Keywords

kernel smoothingdimension reductionsemiparametric modellingoptimal samplinglarge-scale data setnonparametric lack-of-fit tests

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A consistent test of functional form via nonparametric estimation techniques
• An updated review of goodness-of-fit tests for regression models
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Generalized additive models
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Comparing nonparametric versus parametric regression fits
• Nonparametric smoothing and lack-of-fit tests
• A consistent test for the functional form of a regression based on a difference of variance estimators
• Statistical estimation in varying coefficient models
• Distributed testing and estimation under sparse high dimensional models
• Generalized likelihood ratio statistics and Wilks phenomenon
• A scalable nonparametric specification testing for massive data
• An adaptive-to-model test for partially parametric single-index models
• Optimal smoothing in single-index models
• Nonparametric estimation of an additive model with a link function
• Data-driven rate-optimal specification testing in regression models
• Optimal subsampling for softmax regression
• Nonparametric checks for single-index models
• Model checking in regression via dimension reduction
• On Directional Regression for Dimension Reduction
• Bootstrap Approximations in Model Checks for Regression
• Sliced Inverse Regression for Dimension Reduction
• Goodness-of-Fit Tests for Parametric Regression Models
• Model Checks for Generalized Linear Models
• A projection-based adaptive-to-model test for regressions
• A Review on Dimension-Reduction Based Tests For Regressions
• On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models
• An Adaptive Estimation of Dimension Reduction Space
• Optimal Subsampling for Large Sample Logistic Regression
• A Scalable Bootstrap for Massive Data
• Information-Based Optimal Subdata Selection for Big Data Linear Regression
• Communication-Efficient Distributed Statistical Inference
• Likelihood-Based Sufficient Dimension Reduction
• Model Checking for Parametric Single-index Models: A Dimension Reduction Model-Adaptive Approach
• An adaptive lack of fit test for big data
• Comment

This page was built for publication: Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling