Multivariate adaptive regression splines
Multivariate adaptive regression splines models for vehicular emission prediction
... Put, R, Xu, Q, Massart, D, Heyden, Y (2004). Multivariate adaptive regression splines (mars) in chromatographic quantitative structure-retention relationship studies. Journal of ...
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Analysis of Freeway Accident Frequency using Multivariate Adaptive Regression Splines
... statistical regression analysis, such as linear regression models, Poisson regression or negative binomial regression models, has been commonly applied to identify the relationship between ...
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Audio based Classification of Video Genre Using Multivariate Adaptive Regression Splines
... VI. C ONCLUSION In this paper, Multivariate Adaptive Regression Splines is presented for automatic video genre classification using only audio features. The experiments have indicated that it ...
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Multivariate adaptive regression splines and neural network models for prediction of pile drivability
... of multivariate adaptive regression splines (MARS) (Friedman, 1991) to capture the intrinsic nonlinear and multidimensional relationship associated with pile ...
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Survival Analysis with Multivariate Adaptive Regression Splines using Cox-Snell Residual
... Multivariate adaptive regression splines (MARS) are a useful tool to identify linear and nonlinear effects and interactions between two or more covariates in classical regression models ...
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Estimation of scour downstream of a ski-jump bucket using the multivariate adaptive regression splines
... 2.3. Multivariate Adaptive Regression Splines (MARS) The MARS refer to a novel approach in the eld of soft computing which applies a series of simple linear ...simple regression into ...
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Pemodelan Kemiskinan di Kabupaten Jombang dengan Pendekatan Multivariate Adaptive Regression Splines (MARS)
... metode Multivariate Adaptive Regression Splines (MARS) dengan alasan data yang digunakan berdimensi tinggi dan tidak ada informasi apapun mengenai bentuk kurva ...
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Multivariate Adaptive Regression Splines Modeling for Household Food Security in Central Borneo Province 2017
... 40 hubungan antara variabel independen dan respon (Gregory & Jackson, 2017). Sedangkan pada penelitian ketahanan pangan yang termasuk penelitian sosial sangat sering terjadi multikolinieritas (Jalaludin, 2009). ...
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Gully erosion susceptibility mapping using multivariate adaptive regression splines-replications and sample size scenarios
... (Multivariate Adaptive Regression Splines) algorithm were considered to evaluate gully erosion susceptibility mapping among ...erosion, Multivariate Adaptive Regression ...
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Analisis Survival dengan Pendekatan Multivariate Adaptive Regression Splines pada Kasus Demam Berdarah Dengue (DBD)
... Penelitian ini membahas tentang analisis survival dan faktor- faktor yang mempengaruhi laju kesembuhan pasien DBD dengan pendekatan Multivariate Adaptive Regression Splines (MARS) berdasarkan ...
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Prediction of Pile Capacity Parameters using Functional Networks and Multivariate Adaptive Regression Splines
... In the present study, FN and MARS were used to develop prediction models for the lateral load capacity of piles, vertical capacity of driven piles in cohesionless soil, friction capacit[r] ...
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A decision support tool for predicting patients at risk of readmission : a comparison of classification trees, logistic regression, generalized additive models, and multivariate adaptive regression splines
... logistic regression model was able to exploit the strong underlying linear relationships in the ...The regression tree model partitioned the sample using binary decision rules and one useful partition was ...
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Estimation of Clear-Water Local Scour at Pile Groups Using Genetic Expression Programming (GEP) and Multivariate Adaptive Regression Splines (MARS).
... of Multivariate Regression Splines with Coupled Wavelet Transform Artificial Neural Networks for Runoff Forecasting in Himalayan Micro-Watersheds with Limited Data, Journal of Hydroinformatics, ...
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Kriner, Monika (2007): Survival Analysis with Multivariate adaptive Regression Splines. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... and multivariate after stepwise martingale with a negative coeffi- cient, ...the multivariate after stepwise model with deviance residuals, its prediction for that special person is much ...
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A Multivariate Adaptive Regression Spline Approach for Prediction of Maximum Shear Modulus and Minimum Damping Ratio
... with multivariate adaptive regression splines,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, ...with multivariate adaptive regression ...
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Geometrically designed, variable knot regression splines
... spline regression estimation and to demonstrate how it can be used to construct a new adaptive spline smoothing ...univariate regression case, but it is worth noting that our method can be extended ...
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Multivariate spatial smoothing using additive regression splines
... additive regression spline models as tools for smooth interpolation of fields that depend on several variables in a spatially varying ...Additive regression models can bypass the usual techni- cal ...
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Multivariate Convex Regression with Adaptive Partitioning
... Recently, multivariate convex regression methods have been proposed with different ...show adaptive rates of convergence, but the in- ference algorithm did not scale to more than a few thousand ...
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Integration of association statistics over genomic regions using Bayesian adaptive regression splines
... Abstract In the search for genetic determinants of complex disease, two approaches to association analysis are most often employed, testing single loci or testing a small group of loci jointly via haplotypes for their ...
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S-estimation for penalized regression splines.
... penalized regression spline models mini- mizes the sum of squared residuals subject to a bound on the norm of the spline regression ...cubic splines, while Lee and Oh (2007) applied this approach to ...
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