High Dimensional Data - Globe Thesis

Keyword [High Dimensional Data] Result: 101 - 120 \| Page: 6 of 8
101.	Adaptive Group Lasso Penalty Quantile Regression Method For High-dimensional Change-Point Model
102.	Hypothesis Test For Semiparametric Varying-Coefficient Partially Linear Models
103.	Penalized Empirical Likelihood And Its Application For High-dimensional Semi-parametric Regression Models
104.	Research On Non-Local Prior Model Based On Lasso Estimator
105.	Penalized Empirical Likelihood Of Partial Linear Models And Generalized Linear Models
106.	Feature Selection And Application Based On High-dimensional Independence Test
107.	In The Case Of Ultra-high Dimensional Data, The Variable Filtering Of The Model Can Be Added
108.	Error correction for high-dimensional data via convex programming
109.	Model selection methods for high-dimensional data and their applications to genome-wide association studies
110.	High dimensional data approximation and wavelets
111.	Statistical inference for high dimensional data
112.	High dimensional classification and variable selection
113.	Inference and Prediction for High Dimensional Data via Penalized Regression and Kernel Machine Methods
114.	Univariate and bivariate variable selection in high dimensional data
115.	Bayesian Variable Selection for High Dimensional Data Analysis
116.	A new contamination model for robust estimation with large high-dimensional data sets
117.	Estimation of functions in generalized additive models using conditional median
118.	High-dimensional generative models: Shrinkage, composition and autoregression
119.	Kernel-based nonparametric testing in high-dimensional data with applications to gene set analysis
120.	Nonlinear multivariate tests for high-dimensional data using wavelets with applications in genomics and engineering
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