International audienceGiven a set P of n points in the plane, the Oja depth of a point x is defined to be the sum of the areas of all triangles defined by x and two points from P, normalized with respect to the area of the convex hull of P. The Oja depth of P is the minimum Oja depth of any point in the plane. The Oja depth conjecture states that any set P of n points in the plane has Oja depth at most n^2/9. This bound would be tight as there are examples where it is not possible to do better. We present a proof of this conjecture. We also improve the previously best bounds for all \Re^d, d \geq 3, via a different, more combinatorial technique
The colourful simplicial depth conjecture states that any point in the convex hull of each of d+1 se...
The concept of location depth was introduced as a way to extend the univariate notion of ranking to ...
Three different concepts of depth in a point set are considered and compared: Convex depth, location...
International audienceGiven a set P of n points in the plane, the Oja depth of a point x is defined ...
Given a set P of n points in the plane, the Oja depth of a point x R 2 is defined to be the sum of t...
Given a set P of n points in the plane, the Oja-depth of a point x ∈ R2 is defined to be the sum of ...
Oja depth (Oja 1983) is a generalization of the median to multivariate data that measures the centra...
At the core of successful manipulation and computation over large geometric data is the notion of ap...
AbstractNeumann-Lara and Urrutia showed in 1985 that in any set of n points in the plane in general ...
A collection of n hyperplanes in R d forms a hyperplane arrangement. The depth of a point ` 2 R d...
Given a set S = , the depth #(Q) of a point Q is the minimum number of points of S that ...
Every notion of depth induces a stratification of the plane in regions of points with the same depth...
We show that, for any set of n points in d dimensions, there exists a hyperplane with regression dep...
Given a set P = {p1,..., pn} of points and a point q in the plane, we define a function ψ(q) that pr...
Regression depth, introduced by Rousseeuw and Hubert in 1999, is a notion that measures how good of ...
The colourful simplicial depth conjecture states that any point in the convex hull of each of d+1 se...
The concept of location depth was introduced as a way to extend the univariate notion of ranking to ...
Three different concepts of depth in a point set are considered and compared: Convex depth, location...
International audienceGiven a set P of n points in the plane, the Oja depth of a point x is defined ...
Given a set P of n points in the plane, the Oja depth of a point x R 2 is defined to be the sum of t...
Given a set P of n points in the plane, the Oja-depth of a point x ∈ R2 is defined to be the sum of ...
Oja depth (Oja 1983) is a generalization of the median to multivariate data that measures the centra...
At the core of successful manipulation and computation over large geometric data is the notion of ap...
AbstractNeumann-Lara and Urrutia showed in 1985 that in any set of n points in the plane in general ...
A collection of n hyperplanes in R d forms a hyperplane arrangement. The depth of a point ` 2 R d...
Given a set S = , the depth #(Q) of a point Q is the minimum number of points of S that ...
Every notion of depth induces a stratification of the plane in regions of points with the same depth...
We show that, for any set of n points in d dimensions, there exists a hyperplane with regression dep...
Given a set P = {p1,..., pn} of points and a point q in the plane, we define a function ψ(q) that pr...
Regression depth, introduced by Rousseeuw and Hubert in 1999, is a notion that measures how good of ...
The colourful simplicial depth conjecture states that any point in the convex hull of each of d+1 se...
The concept of location depth was introduced as a way to extend the univariate notion of ranking to ...
Three different concepts of depth in a point set are considered and compared: Convex depth, location...