The following pages link to (Q2940746):
Displaying 50 items.
- Estimation and testing under sparsity. École d'Été de Probabilités de Saint-Flour XLV -- 2015 (Q276944) (← links)
- Statistics for high-dimensional data. Methods, theory and applications. (Q532983) (← links)
- Spectral likelihood expansions for Bayesian inference (Q729504) (← links)
- Principles and methods for data science (Q777170) (← links)
- On cross-validated Lasso in high dimensions (Q820794) (← links)
- Estimating robot strengths with application to selection of alliance members in FIRST robotics competitions (Q830078) (← links)
- Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients (Q1615281) (← links)
- On the post selection inference constant under restricted isometry properties (Q1627565) (← links)
- Big and complex data analysis. Methodologies and applications (Q1674160) (← links)
- Inferring large graphs using \(\ell_1\)-penalized likelihood (Q1704026) (← links)
- Massively parallel processing of recursive multi-period portfolio models (Q1751815) (← links)
- Sparse inference of the drift of a high-dimensional Ornstein-Uhlenbeck process (Q1755107) (← links)
- On the exponentially weighted aggregate with the Laplace prior (Q1800807) (← links)
- Slope meets Lasso: improved oracle bounds and optimality (Q1990596) (← links)
- Classification with many classes: challenges and pluses (Q2008227) (← links)
- Learning from MOM's principles: Le Cam's approach (Q2010482) (← links)
- A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering (Q2058771) (← links)
- Bayes factor asymptotics for variable selection in the Gaussian process framework (Q2135522) (← links)
- Inference in latent factor regression with clusterable features (Q2137004) (← links)
- Robust machine learning by median-of-means: theory and practice (Q2196199) (← links)
- Adaptive estimation of the rank of the coefficient matrix in high-dimensional multivariate response regression models (Q2284369) (← links)
- Partial recovery bounds for clustering with the relaxed \(K\)-means (Q2319817) (← links)
- Localized Gaussian width of \(M\)-convex hulls with applications to Lasso and convex aggregation (Q2325349) (← links)
- On Lasso refitting strategies (Q2325356) (← links)
- Structured matrix estimation and completion (Q2325396) (← links)
- On the asymptotic variance of the debiased Lasso (Q2326043) (← links)
- High-dimensional statistics, with applications to genome-wide association studies (Q2363092) (← links)
- A guided random walk through some high dimensional problems (Q2431011) (← links)
- Wavelet eigenvalue regression in high dimensions (Q2694800) (← links)
- Statistical estimation: from denoising to sparse regression and hidden cliques (Q2990200) (← links)
- Introduction to High-Dimensional Statistics (Q3389074) (← links)
- Statistical challenges of high-dimensional data (Q3559944) (← links)
- On tight bounds for the Lasso (Q4558195) (← links)
- Regularization and the small-ball method II: complexity dependent error rates (Q4637079) (← links)
- High-Dimensional Inference for Cluster-Based Graphical Models (Q4969100) (← links)
- A partial graphical model with a structural prior on the direct links between predictors and responses (Q5000397) (← links)
- (Q5053311) (← links)
- High-dimensional Varying Index Coefficient Quantile Regression Model (Q5066766) (← links)
- Block-Diagonal Covariance Estimation and Application to the Shapley Effects in Sensitivity Analysis (Q5075230) (← links)
- Optimal model averaging estimation for correlation structure in generalized estimating equations (Q5085950) (← links)
- Inference robust to outliers with <i>ℓ</i><sub>1</sub>-norm penalization (Q5140337) (← links)
- (Q5149262) (← links)
- Learning rates for partially linear support vector machine in high dimensions (Q5856267) (← links)
- A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data (Q5860286) (← links)
- Discussion of ‘Prior-based Bayesian Information Criterion (PBIC)’ (Q5879985) (← links)
- Clustering analysis for elastodynamic homogenization (Q6084768) (← links)
- Learning binary undirected graph in low dimensional regime (Q6089186) (← links)
- A reduced-rank approach to predicting multiple binary responses through machine learning (Q6089192) (← links)
- Stochastic approximation with discontinuous dynamics, differential inclusions, and applications (Q6103982) (← links)
- Smooth over-parameterized solvers for non-smooth structured optimization (Q6110460) (← links)
