Improved Regression Method with Interval Estimation

被引：0

作者：

Krammer, Peter ^{[1
]}

Kvassay, Marcel ^{[1
]}

Hluchy, Ladislav ^{[1
]}

机构：

[1] Slovak Acad Sci, Inst Informat, Bratislava, Slovakia

来源：

2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2017年

关键词：

data transformation; regression; modeling; ensemble learning; interval estimation; accuracy improvement; ENSEMBLES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article presents an improved transformation method that can enhance the accuracy of statistical regression models. The method is inspired by ensemble learning and the K-nearest neighbors algorithm, and is intended primarily for smaller datasets. Its advantages include the ability to incorporate various regression models and to provide interval estimates of the target value. We also show the application of the proposed method to three real-world datasets, with encouraging results.

引用

页码：2323 / 2329

页数：7

共 50 条

[1] Improved point and interval estimation for a beta regression model
Ospina, Raydonal
Cribari Neto, Francisco
Vasconcellos, Klaus L. P.
[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2006, 51 (02) : 960 - 981
[2] A quadratic bootstrap method and improved estimation in logistic regression
Claeskens, G
Aerts, M
Molenberghs, G
[J]. STATISTICS & PROBABILITY LETTERS, 2003, 61 (04) : 383 - 394
[3] Improved estimation of Weibull parameters with the linear regression method
Wu, DF
Lu, GZ
Jiang, H
Li, YD
[J]. JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 2004, 87 (09) : 1799 - 1802
[4] Ratio of proportions and the use of the delta method for confidence interval estimation in logistic regression
deOliveira, NF
Santana, VS
Lopes, AA
[J]. REVISTA DE SAUDE PUBLICA, 1997, 31 (01): : 90 - 99
[5] An Interval Nonparametric Regression Method
Fagundes, Roberta A. de A.
Queiroz Filho, Ricardo J. A.
de Souza, Renata M. C. R.
Cysneiros, Francisco Jose A.
[J]. 2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2013,
[6] Interval Q factor estimation based on an improved frequency shift method
Zhang, Junjie
Li, Jingye
Wang, Shoudong
Cheng, Wanli
Geng, Weiheng
Wu, Fan
Tang, Wei
[J]. JOURNAL OF APPLIED GEOPHYSICS, 2022, 207
[7] Improved point and interval estimation for a beta regression model (vol 51, pg 960, 2006)
Ospina, Raydonal
Cribari-Neto, Francisco
Vasconcellos, Klaus L. P.
[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2011, 55 (07) : 2445 - 2445
[8] IMPROVED MODEL SELECTION METHOD FOR AN ADAPTIVE ESTIMATION IN SEMIMARTINGALE REGRESSION MODELS
Pchelintsev, E. A.
Pergamenshchikov, S. M.
[J]. VESTNIK TOMSKOGO GOSUDARSTVENNOGO UNIVERSITETA-MATEMATIKA I MEKHANIKA-TOMSK STATE UNIVERSITY JOURNAL OF MATHEMATICS AND MECHANICS, 2019, (58): : 14 - 31
[9] Electric load probabilistic interval prediction method based on improved Gaussian process regression
Liu, Shengwei
Wang, Xinghua
Lu, Di
Peng, Xiangang
Zheng, Weiqin
[J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (01): : 18 - 25
[10] A NOTE ON THE INTERVAL ESTIMATION RELATED TO THE REGRESSION MATRIX
KHATRI, CG
[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 1961, 13 (02) : 145 - 146

← 1 2 3 4 5 →