Finite deformation near a crack tip terminated at an interface between two neo-Hookean sheets. [PDF]
Mo C, Raney JR, Bassani JL.
europepmc +1 more source
Assessing the Effectiveness of Workers' Selection Exams: The Case of the Bank of Italy
ABSTRACT High‐stakes exams can be used to rank and select candidates for job openings, and the ability of those selected hinges on the design of the exam. I propose a method to model candidates' performance to assess how effective the exam is at selecting high‐ability candidates.
Santiago Pereda‐Fernández
wiley +1 more source
New Properties of Holomorphic Sobolev-Hardy Spaces. [PDF]
Gryc W, Lanzani L, Xiong J, Zhang Y.
europepmc +1 more source
Application of the Generalized Method of Moving Coordinates to Calculating Stress Fields near an Elliptical Hole. [PDF]
Alexandrov S, Rynkovskaya M, Tsai SN.
europepmc +1 more source
Repelled Point Processes With Application to Numerical Integration
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat +3 more
wiley +1 more source
Ray Transform of Symmetric Tensor Fields on Riemannian Manifolds with Conjugate Points. [PDF]
Holman S, Krishnan VP.
europepmc +1 more source
Sparse Minimum Redundancy Maximum Relevance for Feature Selection
ABSTRACT We propose a feature screening method that integrates both feature–feature and feature–target relationships. Inactive features are identified via a penalized minimum Redundancy Maximum Relevance (mRMR) procedure, which is the continuous version of the classical mRMR penalized by a non‐convex regularizer, and where the parameters estimated as ...
Peter Naylor +3 more
wiley +1 more source
Levy Noise Affects Ornstein-Uhlenbeck Memory. [PDF]
Eliazar I.
europepmc +1 more source
Bayesian Inference for Multivariate Monotone Densities
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
Damping Versus Oscillations for a Gravitational Vlasov-Poisson System. [PDF]
Hadžić M +3 more
europepmc +1 more source

