Results 31 to 40 of about 676 (93)

Multivariate subexponential distributions

open access: yesStochastic Processes and their Applications, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cline, Daren B.H., Resnick, Sidney I.
openaire   +2 more sources

Robust Distance Correlation for Variable Screening

open access: yesStat, Volume 14, Issue 3, September 2025.
ABSTRACT In modern statistical applications, identifying critical features in high‐dimensional data is essential for scientific discoveries. Traditional best subset selection methods face computational challenges, while regularization approaches such as Lasso, SCAD and their variants often exhibit poor performance with ultrahigh‐dimensional data.
Tianzhou Ma   +3 more
wiley   +1 more source

Subexponential algorithms for partial cover problems [PDF]

open access: yesInformation Processing Letters, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fomin, Fedor   +3 more
openaire   +4 more sources

Improving the Convergence of Markov Chains via Permutations and Projections

open access: yesRandom Structures &Algorithms, Volume 66, Issue 4, July 2025.
ABSTRACT This paper aims at improving the convergence to equilibrium of finite ergodic Markov chains via permutations and projections. First, we prove that a specific mixture of permuted Markov chains arises naturally as a projection under the KL divergence or the squared‐Frobenius norm.
Michael C. H. Choi   +2 more
wiley   +1 more source

Soft Subexponentials and Multiplexing [PDF]

open access: yes, 2020
Linear logic and its refinements have been used as a specification language for a number of deductive systems. This has been accomplished by carefully studying the structural restrictions of linear logic modalities. Examples of such refinements are subexponentials, light linear logic, and soft linear logic. We bring together these refinements of linear
Kanovich, Max   +3 more
openaire   +1 more source

Forward‐looking experimentation of correlated alternatives

open access: yesTheoretical Economics, Volume 20, Issue 3, Page 883-909, July 2025.
This paper studies how a forward‐looking decision maker experiments on unknown alternatives of correlated utilities. The utilities are modeled by a Brownian motion such that similar alternatives yield similar utilities. Experimentation trades off between the continuation value of exploration and the opportunity cost of exploitation.
Yu Fu Wong
wiley   +1 more source

On Subexponential and FPT-Time Inapproximability [PDF]

open access: yesAlgorithmica, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bonnet, Edouard   +3 more
openaire   +3 more sources

On an Erdős similarity problem in the large

open access: yesBulletin of the London Mathematical Society, Volume 57, Issue 6, Page 1801-1818, June 2025.
Abstract In a recent paper, Kolountzakis and Papageorgiou ask if for every ε∈(0,1]$\epsilon \in (0,1]$, there exists a set S⊆R$S \subseteq \mathbb {R}$ such that |S∩I|⩾1−ε$\vert S \cap I\vert \geqslant 1 - \epsilon$ for every interval I⊂R$I \subset \mathbb {R}$ with unit length, but that does not contain any affine copy of a given increasing sequence ...
Xiang Gao   +2 more
wiley   +1 more source

Subexponential-Time Algorithms for Sparse PCA

open access: yesFoundations of Computational Mathematics, 2023
We study the computational cost of recovering a unit-norm sparse principal component $x \in \mathbb{R}^n$ planted in a random matrix, in either the Wigner or Wishart spiked model (observing either $W + λxx^\top$ with $W$ drawn from the Gaussian orthogonal ensemble, or $N$ independent samples from $\mathcal{N}(0, I_n + βxx^\top)$, respectively).
Ding, Yunzi   +3 more
openaire   +3 more sources

Multivariate Subexponential Distributions and Their Applications [PDF]

open access: yes, 2015
We propose a new definition of a multivariate subexponential distribution. We compare this definition with the two existing notions of multivariate subexponentiality, and compute the asymptotic behaviour of the ruin probability in the context of ...
Samorodnitsky, Gennady, Sun, Julian
core   +1 more source

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