Sparse incremental regression modeling using correlation criterion with boosting search

IEEE Signal Processing Letters ◽

10.1109/lsp.2004.842250 ◽

2005 ◽

Vol 12 (3) ◽

pp. 198-201 ◽

Author(s):

S. Chen ◽

X.X. Wang ◽

D.J. Brown

Keyword(s):

Regression Modeling ◽

Correlation Criterion

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Regression modeling of ground-water flow

10.3133/twri03b4 ◽

1990 ◽

Keyword(s):

Ground Water ◽

Regression Modeling ◽

Ground Water Flow

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Price Changes and Customer Loyalty & Defection in Consumer Insurance: A Test of ‘Prospect Theory’ - And Why Regression Modeling Should Use Multiple Datasets

SSRN Electronic Journal ◽

10.2139/ssrn.2034074 ◽

2012 ◽

Author(s):

John G. Dawes

Keyword(s):

Prospect Theory ◽

Customer Loyalty ◽

Regression Modeling ◽

Price Changes ◽

Multiple Datasets ◽

Consumer Insurance

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Robust Bayesian approach to logistic regression modeling in small sample size utilizing a weakly informative student’s t prior distribution

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2021.1912767 ◽

2021 ◽

pp. 1-11

Author(s):

Kenneth Chukwuemeka Asanya ◽

Mohamed Kharrat ◽

Akaninyene Udo Udom ◽

Emmanuel Torsen

Keyword(s):

Logistic Regression ◽

Sample Size ◽

Bayesian Approach ◽

Prior Distribution ◽

Small Sample Size ◽

Regression Modeling ◽

Small Sample ◽

Logistic Regression Modeling ◽

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Semiparametric copula-based regression modeling of semi-competing risks data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2021.1881122 ◽

2021 ◽

pp. 1-16

Author(s):

Hong Zhu ◽

Yu Lan ◽

Jing Ning ◽

Yu Shen

Keyword(s):

Competing Risks ◽

Regression Modeling ◽

Competing Risks Data

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Book Review: Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis

Statistical Methods in Medical Research ◽

10.1177/096228020401300512 ◽

2004 ◽

Vol 13 (5) ◽

pp. 415-416 ◽

Author(s):

Diego Kuonen

Keyword(s):

Logistic Regression ◽

Survival Analysis ◽

Linear Models ◽

Regression Modeling

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Fusion of land use regression modeling output and wireless distributed sensor network measurements into a high spatiotemporally-resolved NO2 product

Environmental Pollution ◽

10.1016/j.envpol.2020.116334 ◽

2021 ◽

Vol 271 ◽

pp. 116334

Author(s):

Rakefet Shafran-Nathan ◽

Yael Etzion ◽

David M. Broday

Keyword(s):

Land Use ◽

Sensor Network ◽

Regression Modeling ◽

Land Use Regression ◽

Network Measurements ◽

Distributed Sensor ◽

Distributed Sensor Network

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Fuzzy Regression Modeling of Batch Cultivation of Lactose Utilizing Yeast's using Nefrit

Biotechnology & Biotechnological Equipment ◽

10.1080/13102818.2000.10819076 ◽

2000 ◽

Vol 14 (1) ◽

pp. 124-128 ◽

Author(s):

B. Tzvetkova ◽

S. Vassileva ◽

C. Katranoushkova ◽

L. Losseva

Keyword(s):

Batch Cultivation ◽

Regression Modeling ◽

Fuzzy Regression

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Research and Implementation of Predictive Modeling Based on Logistic Regression Modeling: About Possibility of Customer to Buy a Tablet PC

2012 Fifth International Joint Conference on Computational Sciences and Optimization ◽

10.1109/cso.2012.146 ◽

2012 ◽

Author(s):

Weina Zhang ◽

Shuang Feng ◽

Hua Li

Keyword(s):

Logistic Regression ◽

Predictive Modeling ◽

Regression Modeling ◽

Tablet Pc ◽

Logistic Regression Modeling

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Flexible competing risks regression modeling and goodness-of-fit

Lifetime Data Analysis ◽

10.1007/s10985-008-9094-0 ◽

2008 ◽

Vol 14 (4) ◽

pp. 464-483 ◽

Author(s):

Thomas H. Scheike ◽

Mei-Jie Zhang

Keyword(s):

Competing Risks ◽

Goodness Of Fit ◽

Regression Modeling

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Intracellular-signaling tumor-regression modeling of the pro-apoptotic receptor agonists dulanermin and conatumumab

Journal of Pharmacokinetics and Pharmacodynamics ◽

10.1007/s10928-012-9269-x ◽

2012 ◽

Vol 39 (5) ◽

pp. 577-590 ◽

Author(s):

Brittany P. Kay ◽

Cheng-Pang Hsu ◽

Jian-Feng Lu ◽

Yu-Nien Sun ◽

Shuang Bai ◽

...

Keyword(s):

Intracellular Signaling ◽

Tumor Regression ◽

Regression Modeling ◽

Receptor Agonists

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