Kangning Wang

Orcid: 0000-0001-6180-0640

Affiliations:
  • Shandong Technology and Business University, Yantai, China


According to our database1, Kangning Wang authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Support vector machine in big data: smoothing strategy and adaptive distributed inference.
Stat. Comput., December, 2024

Distributed statistical learning algorithm for nonlinear regression with autoregressive errors.
Pattern Recognit., 2024

Convolution smoothing and non-convex regularization for support vector machine in high dimensions.
Appl. Soft Comput., 2024

2023
Online renewable smooth quantile regression.
Comput. Stat. Data Anal., September, 2023

Distributed statistical optimization for non-randomly stored big data with application to penalized learning.
Stat. Comput., June, 2023

Smooth quantile regression and distributed inference for non-randomly stored big data.
Expert Syst. Appl., April, 2023

2022
Renewable quantile regression for streaming datasets.
Knowl. Based Syst., 2022

Communication-efficient surrogate quantile regression for non-randomly distributed system.
Inf. Sci., 2022

Efficient statistical estimation for a non-randomly distributed system with application to large-scale data neural network.
Expert Syst. Appl., 2022

2021
Unified distributed robust regression and variable selection framework for massive data.
Expert Syst. Appl., 2021

Robust communication-efficient distributed composite quantile regression and variable selection for massive data.
Comput. Stat. Data Anal., 2021

Robust distributed modal regression for massive data.
Comput. Stat. Data Anal., 2021

2019
Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection.
Comput. Stat. Data Anal., 2019


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