Results 171 to 180 of about 3,430 (271)

Nonlinear kernel-based high-dimensional inference for set-based genetic association studies. [PDF]

Brief Bioinform
Zhang Z, Yang H, Zhu M, Guo R, Chen F, Dong H, Cui Y, Yang H.   +7 more
europepmc   +1 more source

Assessing the Effectiveness of Workers' Selection Exams: The Case of the Bank of Italy

Oxford Bulletin of Economics and Statistics, EarlyView.
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

Divided-and-combined association test for pleiotropic effects with GWAS summary statistics. [PDF]

BMC Genomics
Hu B, Chen Y, Zheng X, Guo H.
europepmc   +1 more source

Repelled Point Processes With Application to Numerical Integration

Scandinavian Journal of Statistics, EarlyView.
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, Gabriel Mastrilli, Rémi Bardenet, Raphaël Lachièze‐Rey   +3 more
wiley   +1 more source

Mechanical characterization of human umbilical and chorionic plate arteries affected by fetal growth restriction. [PDF]

PNAS Nexus
Arenas GA, Navarrete Á, Gonzalez JM, Utrera A, García-Herrera C, Krause BJ.   +5 more
europepmc   +1 more source

Sparse Minimum Redundancy Maximum Relevance for Feature Selection

Scandinavian Journal of Statistics, EarlyView.
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, Benjamin Poignard, Héctor Climente‐González, Makoto Yamada   +3 more
wiley   +1 more source

A Fault Diagnosis Method for Rolling Bearings Based on Enhanced Sparrow Search Algorithm-Optimized VMD and CNN-BiLSTM. [PDF]

Sensors (Basel)
Liu F, Yue X.
europepmc   +1 more source

Bayesian Inference for Multivariate Monotone Densities

Scandinavian Journal of Statistics, EarlyView.
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

Robust Lifetime Estimation from HPGe Radiation-Sensor Time Series Using Pairwise Ratios and MFV Statistics. [PDF]

Sensors (Basel)
Golovko VV.
europepmc   +1 more source

Alternation of must, have to, and need to in English as a lingua franca

World Englishes, EarlyView.
Abstract This study explores the grammatical variability of modal auxiliary verbs in English as a lingua franca. Focusing on the ongoing change must, have to, and need to, this research utilizes two spoken corpora: the Vienna–Oxford International Corpus of English (VOICE) and the Asian Corpus of English (ACE).
Chunyuan Nie, Lea Meriläinen, Mikko Laitinen   +2 more
wiley   +1 more source