Pages that link to "Item:Q3559944"

The following pages link to Statistical challenges of high-dimensional data (Q3559944):

Displaying 46 items.

• Power-expected-posterior priors for variable selection in Gaussian linear models (Q273575) (← links)
• On the sphericity test with large-dimensional observations (Q367207) (← links)
• Using scientifically and statistically sufficient statistics in comparing image segmentations (Q440186) (← links)
• The singular values and vectors of low rank perturbations of large rectangular random matrices (Q444963) (← links)
• Guest editor's introduction to the special issue on ``Modern dimension reduction methods for big data problems in ecology'' (Q486031) (← links)
• Expectation propagation in linear regression models with spike-and-slab priors (Q493741) (← links)
• Network-based sparse Bayesian classification (Q621090) (← links)
• Some challenges for statistics (Q1039967) (← links)
• Qualitative assumptions and regularization in high-dimensional statistics. Abstracts from the workshop held November 5--11, 2006. (Q1046961) (← links)
• Special issue on model selection and high dimensional data reduction (Q1621344) (← links)
• Natural coordinate descent algorithm for \(\ell_1\)-penalised regression in generalised linear models (Q1659358) (← links)
• Asymptotic performance of PCA for high-dimensional heteroscedastic data (Q1661372) (← links)
• Big and complex data analysis. Methodologies and applications (Q1674160) (← links)
• Sparse learning of the disease severity score for high-dimensional data (Q1693802) (← links)
• Variable screening for high dimensional time series (Q1746535) (← links)
• Point process convergence for the off-diagonal entries of sample covariance matrices (Q2240824) (← links)
• Sparse matrices in data analysis (Q2259724) (← links)
• Data science, big data and statistics (Q2273155) (← links)
• A new test for part of high dimensional regression coefficients (Q2348453) (← links)
• Using visual statistical inference to better understand random class separations in high dimension, low sample size data (Q2354730) (← links)
• High-dimensional statistics, with applications to genome-wide association studies (Q2363092) (← links)
• High dimensional extension of the growth curve model and its application in genetics (Q2404625) (← links)
• A guided random walk through some high dimensional problems (Q2431011) (← links)
• Fast stepwise regression based on multidimensional indexes (Q2666779) (← links)
• Recovery of partly sparse and dense signals (Q2692936) (← links)
• A novel wavelength interval selection based on split regularized regression for spectroscopic data (Q2696349) (← links)
• Some Themes in High-Dimensional Statistics (Q2956738) (← links)
• Statistical analysis of very high-dimensional data sets of hierarchically structured binary variables with missing data: An application to marine corps readiness evaluations (Q3740894) (← links)
• High-dimensional classification when useful information comes from many, perhaps all features (Q4991173) (← links)
• Bayesian growth curve model useful for high-dimensional longitudinal data (Q5036561) (← links)
• A new approach for the computation of halfspace depth in high dimensions (Q5086196) (← links)
• High‐dimensional data analysis: Selection of variables, data compression and graphics – Application to gene expression (Q5123173) (← links)
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• Stringing High-Dimensional Data for Functional Analysis (Q5256419) (← links)
• High-Dimensional Data Classification (Q5270620) (← links)
• DETECTION OF WEAK SIGNALS IN HIGH-DIMENSIONAL COMPLEX-VALUED DATA (Q5416403) (← links)
• Optimally Weighted PCA for High-Dimensional Heteroscedastic Data (Q5888296) (← links)
• Introduction to the special issue on sparsity and regularization methods (Q5965302) (← links)
• Robust PCA for high‐dimensional data based on characteristic transformation (Q6075186) (← links)
• A comparative study on high-dimensional bayesian regression with binary predictors (Q6172140) (← links)
• Point process convergence for symmetric functions of high-dimensional random vectors (Q6536819) (← links)
• Cohesion and Repulsion in Bayesian Distance Clustering (Q6567933) (← links)
• Statistical plasmode simulations-potentials, challenges and recommendations (Q6618472) (← links)
• Decomposition feature selection with applications in detecting correlated biomarkers of bipolar disorders (Q6628719) (← links)
• Maximum interpoint distance of high-dimensional random vectors (Q6632617) (← links)