Pages that link to "Item:Q1394754"
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The following pages link to Large sample theory of intrinsic and extrinsic sample means on manifolds. I (Q1394754):
Displaying 50 items.
- Barycentric subspace analysis on manifolds (Q1991674) (← links)
- Efficient alternating minimization methods for variational edge-weighted colorization models (Q2000545) (← links)
- Convergence rates for the generalized Fréchet mean via the quadruple inequality (Q2008610) (← links)
- Geometrical smeariness -- a new phenomenon of Fréchet means (Q2073211) (← links)
- Total variation regularized Fréchet regression for metric-space valued data (Q2073719) (← links)
- Nonparametric regression in nonstandard spaces (Q2084459) (← links)
- Robustness of lognormal confidence regions for means of symmetric positive definite matrices when applied to mixtures of lognormal distributions (Q2098284) (← links)
- The Stein effect for Fréchet means (Q2112836) (← links)
- From Bayesian inference to MCMC and convex optimisation in Hadamard manifolds (Q2117815) (← links)
- Manifold valued data analysis of samples of networks, with applications in corpus linguistics (Q2135359) (← links)
- Statistical inference on the Hilbert sphere with application to random densities (Q2136620) (← links)
- Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories (Q2148989) (← links)
- Intrinsic Riemannian functional data analysis for sparse longitudinal observations (Q2148996) (← links)
- The location of a minimum variance squared distance functional (Q2155839) (← links)
- Concurrent object regression (Q2161189) (← links)
- Averages of unlabeled networks: geometric characterization and asymptotic behavior (Q2176631) (← links)
- A central limit theorem for extrinsic antimeans and estimation of Veronese-Whitney means and antimeans on planar Kendall shape spaces (Q2181714) (← links)
- Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendable geodesics (Q2182123) (← links)
- Sufficient conditions for the existence of a sample mean of time series under dynamic time warping (Q2188763) (← links)
- Some properties of a Cauchy family on the sphere derived from the Möbius transformations (Q2203637) (← links)
- Extrinsic regression and anti-regression on projective shape manifolds (Q2241610) (← links)
- Intrinsic means on the circle: uniqueness, locus and asymptotics (Q2255171) (← links)
- Nonparametric confidence regions for the central orientation of random rotations (Q2256751) (← links)
- Semi-classical analysis of a random walk on a manifold (Q2268701) (← links)
- A smeary central limit theorem for manifolds with application to high-dimensional spheres (Q2284377) (← links)
- Intrinsic Riemannian functional data analysis (Q2284383) (← links)
- A topological study of functional data and Fréchet functions of metric measure spaces (Q2304008) (← links)
- Extrinsic Gaussian processes for regression and classification on manifolds (Q2316989) (← links)
- Nonparametric analysis of non-Euclidean data on shapes and images (Q2316991) (← links)
- Procrustes metrics on covariance operators and optimal transportation of Gaussian processes (Q2317000) (← links)
- A kernel regression procedure in the 3D shape space with an application to online sales of children's wear (Q2325634) (← links)
- Highly resistant gradient descent algorithm for computing intrinsic mean shape on similarity shape spaces (Q2340392) (← links)
- Intrinsic sample mean in the space of planar shapes (Q2417818) (← links)
- Statistical graph space analysis (Q2417832) (← links)
- The \(k\)-means algorithm for 3D shapes with an application to apparel design (Q2418258) (← links)
- Semiparametric estimation of shifts on compact Lie groups for image registration (Q2428501) (← links)
- Kernel density estimation on Riemannian manifolds (Q2483899) (← links)
- On means and their asymptotics: circles and shape spaces (Q2513412) (← links)
- Tree-oriented analysis of brain artery structure (Q2513418) (← links)
- Large sample theory of intrinsic and extrinsic sample means on manifolds. II. (Q2569240) (← links)
- Statistical analysis on high-dimensional spheres and shape spaces (Q2583415) (← links)
- Directions and projective shapes (Q2583416) (← links)
- Recent advances in directional statistics (Q2666029) (← links)
- Limit theorems for quasi-arithmetic means of random variables with applications to point estimations for the Cauchy distribution (Q2673839) (← links)
- Recursive Computation of the Fréchet Mean on Non-positively Curved Riemannian Manifolds with Applications (Q2807040) (← links)
- Domain Adaptation Using the Grassmann Manifold (Q2807063) (← links)
- Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces (Q2832840) (← links)
- Regression on manifolds using data-dependent regularization with applications in computer vision (Q2870760) (← links)
- Strong law of large numbers on graphs and groups (Q2882826) (← links)
- Inference on 3D Procrustes means: tree bole growth, rank deficient diffusion tensors and perturbation models (Q2911675) (← links)