Random forests and LASSO methods improve small area estimation using auxiliary data.
arXiv research
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Horseshoe priors improve small area estimation by borrowing strength globally but locally.
PriorVAE uses VAEs to efficiently encode spatial priors for small-area estimation.
We analyze the level sets of the norm of the Witten spinor in an asymptotically flat Riemannian spin manifold of positive scalar curvature. Level sets of small area are constructed. We prove curvature estimates which quantify that, if the total mass becomes small, the manifold becomes flat with the exception of a set o…
We prove some estimates of the volumes of the sets of translation surfaces of unit area having several independent small saddle connections in a rank one affine submanifold.
In this paper we consider surfaces which are critical points of the Willmore functional subject to constrained area. In the case of small area we calculate the corrections to the intrinsic geometry induced by the ambient curvature. These estimates together with the choice of an adapted geometric center of mass lead to …
Differential privacy for simple linear regression protects small datasets from individual data leaks.
We study geometric properties of the Lagrangian self-shrinking tori in . When the area is bounded above uniformly, we prove that the entropy for the Lagrangian self-shrinking tori can only take finitely many values; this is done by deriving a Łojasiewicz-Simon type gradient inequality for the branched conf…
We derive pointwise curvature estimates for graphical mean curvature flows in higher codimensions. To the best of our knowledge, this is the first such estimates without assuming smallness of first derivatives of the defining map. An immediate application is a convergence theorem of the mean curvature flow of the graph…
This is the second of a series of two papers where we construct embedded Willmore tori with small area constraint in Riemannian three-manifolds. In both papers the construction relies on a Lyapunov-Schmidt reduction, the difficulty being the Möbius degeneration of the tori. In the first paper the construction was perfo…
We show the existence of a smooth spherical surface minimizing the Willmore functional subject to an area constraint in a compact Riemannian three-manifold, provided the area is small enough. Moreover, we classify complete surfaces of Willmore type with positive mean curvature in Riemannian three-manifolds.
We investigate the Hawking energy of small surfaces in space times without symmetry assumptions by introducing the notion of Hawking type functionals. In particular, we find that Hawking type functionals are generalized Willmore functionals which allows us to find area constrained, minimizing, immersed, haunted bubble …
TLRF improves timely COVID-19 outbreak detection with small sample size counties.
We construct embedded Willmore tori with small area constraint in Riemannian three-manifolds under some curvature condition used to prevent Möbius degeneration. The construction relies on a Lyapunov-Schmidt reduction; to this aim we establish new geometric expansions of exponentiated small symmetric Clifford tori and a…
Paper proposes efficient multivariate spatial Fay-Herriot models using variational autoencoders.
We prove that a strictly stable constant-mean-curvature hypersurface in a smooth manifold of dimension less than or equal to 7 is uniquely homologically area minimizing for fixed volume in a small L^1 neighborhood.
Bayesian SAE model with spectral clustering and uncertainty quantification.
Study on Laplacian determinant in isosceles triangles, finding equilateral triangle minimizes determinant.
Small bubbles sliding on a boundary maintain half-spherical shape.
The paper examines partial regularity of Lipschitz solutions to minimal surface system.
We prove that a strictly stable minimal intrinsic graph G is locally area-minimizing, i.e. given any graph with the same boundary, unless . As a consequence we show the existence and the uniqueness of minimal graphs with prescribed small boundary datum…
In this paper, we mainly study the compactness and local structure of immersing surfaces in with local uniform bounded area and small total curvature . A key ingredient is a new quantity which we call isothermal radius. Using the estimate of the isothermal radius we establish a…
Our main result is that for all sufficiently large , the set of commensurability classes of arithmetic hyperbolic 2- or 3-orbifolds with fixed invariant trace field and systole bounded below by has density one within the set of all commensurability classes of arithmetic hyperbolic 2- or 3-orbifolds wit…
The study examines the index of MOTS in Kerr-Newman-de Sitter spacetime and its relation to mass and charge.
Sharp area estimates for minimal submanifolds in curved spaces.
The paper estimates area and volume for spacetimes with integral mean curvature bounds.
We present a conjecture, based on computational results, on the area minimizing way to enclose and separate two arbitrary volumes in the flat cubic 3-torus. For comparable small volumes, we prove that an area minimizing double bubble in the 3-torus is the standard double bubble from R^3.
We study the area preserving Willmore flow in an asymptotic region of an asymptotically flat manifold which is close to Schwarzschild. It was shown by Lamm, Metzger and Schulze that such an end is foliated by spheres of Willmore type. In this paper, we prove that the leaves of this foliation are stable under sm…
New foliations found for critical surfaces of Hawking energy, resolving discrepancies.
Study of large area-constrained Willmore surfaces in Schwarzschild-like manifolds.
Sharp estimate for flow in any dimension.
We show that the surface area preserving mean curvature flow in Euclidean space exists for all time and converges exponentially to a round sphere, if initially the L^2-norm of the traceless second fundamental form is small (but the initial hypersurface is not necessarily convex).
Hot spots conjecture proven for small eigenvalue domains.
In [dLMu05], DeLellis and Müller proved a quantitative version of Codazzi's theorem, namely for a smooth embedded surface with area normalized to , it was shown that , and building on…
A new curve flow preserves area and converges to a circle.
Efficiently tests machine learning models with minimal labeled data.
In many applications, monitoring area under the ROC curve (AUC) in a sliding window over a data stream is a natural way of detecting changes in the system. The drawback is that computing AUC in a sliding window is expensive, especially if the window size is large and the data flow is significant. In this paper we propo…
Study minimal annuli in a slab, estimating their area.
Proposes a sample-efficient method for uncertainty estimation in deep learning.
New height estimate for area minimizing currents, leading to unique tangent cones and decay properties.
Estimates area and spectrum of stable minimal surfaces in Euclidean and hyperbolic spaces.
Let be a 3-dimensional Riemannian manifold. The goal of the paper it to show that if is a non-degenerate critical point of the scalar curvature, then a neighborhood of is foliated by area-constrained Willmore spheres. Such a foliation is unique among foliations by area-constrained Willmore …
Estimate sphere area in Sol group up to a factor of 10.
Motivated by the HRRT-formula for holographic entanglement entropy, we consider the following question: what are the position and the surface area of extremal surfaces in a perturbed geometry, given their anchor on the asymptotic boundary? We derive explicit expressions for the change in position and surface area, ther…
We are interested in the maximum value achieved by the systole function over all complete finite area hyperbolic surfaces of a given signature . This maximum is shown to be strictly increasing in terms of the number of cusps for small values of . We also show that this function is greater than a function that…
For appropriately values of , we obtain an area estimate for a complete non-compact -surface of finite topology and finite area, embedded in a three-manifold of negative curvature. Moreover, in the case of equality and under additional assumptions, we prove that a neighbourhood of the mean convex side of the surf…
Smooth minimizing hypersurfaces in 11D are generic, with singularities in higher dimensions.
We study the problem of estimating the parameters of a Gaussian distribution when samples are only shown if they fall in some (unknown) subset . This core problem in truncated statistics has long history going back to Galton, Lee, Pearson and Fisher. Recent work by Daskalakis et al. (FOCS'18), provide…