Search Results - "variable selection"

Variable selection in principal component analysis : using measures of multivariate association. by Sithole, Moses M.

Subjects: Get full text

Goodness of fit tests and lasso variable selection in time series analysis by Chand, Sohail

Subjects: Get full text

Statistical downscaling of rainfall data using sparse variable selection methods by Phatak, Aloke, Bates, B., Charles, S.

“…In this short communication, we describe the use of a fast, sparse variable selection method, known as RaVE, for selecting atmospheric predictors, and illustrate its use on rainfall occurrence at stations in South Australia. …”
Get full text

Robust variable selection in linear regression models / Shokrya Saleha A. Alshqaq by Shokrya Saleha, A. Alshqaq

“…This study looks at two problems related to the robust variable selection in linear regression models with six objectives in mind. …”
Get full text
Get full text
Get full text

Variable selection using penalised likelihoods for point patterns on a linear network. by Rakshit, Suman, McSwiggan, Greg, Nair, Gopalan, Baddeley, Adrian

“…Motivated by the analysis of a comprehensive database of road traffic accidents, we investigate methods of variable selection for spatial point process models on a linear network. …”
Get full text
Get full text

Variable selection via SCAD-penalized quantile regression for high-dimensional count data by Muhammad Khan, Dost, Yaqoob, Anum, Iqbal, Nadeem, Abdul Wahid, Khalil, Umair, Khan, Mukhtaj, Abd Rahman, Mohd Amiruddin, Mustafa, Mohd Shafie, Khan, Zardad

“…This article introduces a quantile penalized regression technique for variable selection and estimation of conditional quantiles of counts in sparse high-dimensional models. …”
Get full text
Get full text

Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery by Karim, M., Reid, Christopher, Tran, L., Cochrane, A., Billah, B.

“…Objective: To compare the impact of different variable selection methods in multiple regression to develop a parsimonious model for predicting postoperative outcomes of patients undergoing cardiac surgery. …”
Get full text

Optimization techniques for variable selection in binary logistic regression model applied to desire for children data. by Sarkar, S.K., Midi, Habshah

Get full text

Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers by Uraibi, Hassan S.

“…Forward selection (FS) is very effective variable selection procedure for selecting a parsimonious subset of covariates from a large number of candidate covariates. …”
Get full text
Get full text

Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data by Baba, Ishaq Abdullahi

“…However, in practice, high leverage points may lead to misleading results in solving variable selection problems. Therefore, a robust sure independence screening procedure based on the weighted correlation algorithm of MRFCH for high dimensional data is developed to address this problem. …”
Get full text
Get full text

Determination of aflatoxin B1 level in rice (Oryza sativa L.) through near-infrared spectroscopy and an improved simulated annealing variable selection method by Ong, Pauline, Tung, I-Chun, Ching, Feng Chiu, I-Lin Tsai d ,, I-Lin Tsai d , Hsi, Chang Shih

“…There has been much work in this regard, where the developed variable selection method can be categorized as individual variable selection, such as uninformative variable elimination or variable importance in projection, and continuous interval variable selection method such as interval partial least squares or moving window partial least squares. …”
Get full text
Get full text

Bayesian inference for smooth transition autoregressive (STAR) model: A prior sensitivity analysis by Livingston, G., Nur, Darfiana

Subjects: Get full text

Adaptive elastic net with distance correlation on the grouping effect and robust of high dimensional stock market price by Yusrina Andu, Muhammad Hisyam Lee, Algamal, Zakariya Yahya

“…Penalized linear regression using elastic net is one of the recognized methods to perform variable selection. However, the lack of consistency in variable selection may reduce the model performance. …”
Get full text
Get full text

Penalised Euclidean distance regression by Vasiliu, Daniel, Dey, Tanujit, Dryden, Ian L.

“…A method is introduced for variable selection and prediction in linear regression problems where the number of predictors can be much larger than the number of observations. …”
Get full text

Elastic net for single index support vector regression model by Dhhan, Waleed, Rana, Sohel, Alshaybawee, Taha, Midi, Habshah

“…In this paper, we propose a variable selection technique for the SIM by combining the estimation method with the Elastic Net penalized method to get sparse estimation of the index parameters. …”
Get full text
Get full text

Selective overview of forward selection in terms of robust correlations by Uraibi, Hassan Sami, Midi, Habshah, Rana, Sohel

“…Forward selection (FS) is a very effective variable selection procedure for selecting a parsimonious subset of covariates from a large number of candidate covariates. …”
Get full text
Get full text

Classification and quantification of palm oil adulteration via portable NIR spectroscopy by Basri, Katrul Nadia, Hussain, Mutia Nurulhusna, Bakar, Jamilah, Sharif, Zaiton, Abdul Khir, Mohd Fared, Zoolfakar, Ahmad Sabirin

“…The result of R2 and RMSEC after variable selection for transflectance and transmission were improved significantly. …”
Get full text
Get full text

Statistical analysis of agricultural soils climate data to aid food security under environmental change by Mitchell, Emily

“…If uncertainty is only accounted for after variable selection, the confidence intervals of the coefficient estimates will be unrealistically narrow and lead us to be overconfident about our estimates. …”
Get full text

On the performance of stepwise selection method in the presence of outliner by Fitrianto, Anwar, Imam Hanafi

“…Stepwise regression is one of common procedures of variable selection in linear regression model when we have many independent variables. …”
Get full text
Get full text

Automated sex identification from 3D skulls based on patch representations for forensic examinations by Arigbabu, Olasimbo Ayodeji

“…Forensic methods have demonstrated that some anatomical parts are more sexually dimorphic than others, however such analysis is performed using stepwise variable selection. Thus, this thesis introduces new techniques for automatically learning such information directly from the data. …”
Get full text