Linear regression with weak exogeneity
This paper studies linear time‐series regressions with many regressors. Weak exogeneity is the most used identifying assumption in time series. Weak exogeneity requires the structural error to have zero conditional expectation given present and past regressor values, allowing errors to correlate with future regressor realizations.
Anna Mikusheva, Mikkel Sølvsten
wiley +1 more source
Improved liver fat and R2* quantification at 0.55 T using locally low‐rank denoising
Abstract Purpose To improve liver proton density fat fraction (PDFF) and R2*$$ {R}_2^{\ast } $$ quantification at 0.55 T by systematically validating the acquisition parameter choices and investigating the performance of locally low‐rank denoising methods.
Shu‐Fu Shih +7 more
wiley +1 more source
Nonlinear shrinkage test on a large‐dimensional covariance matrix
This paper is concerned with deriving a new test on a covariance matrix which is based on its nonlinear shrinkage estimator. The distribution of the test statistic is deduced under the null hypothesis in the large‐dimensional setting, that is, when p/n→c∈(0,+∞) with p variables and n samples both tending to infinity.
Taras Bodnar +2 more
wiley +1 more source
Uncertainty quantification (UQ) of aerospace microstructures: state‐of‐the‐art studies on UQ of microstructures in aerospace materials are examined. The forward problem of uncertainty propagation in process–structure and structure–property relationships is investigated. Additionally, the inverse UQ problem, referred to as “design under uncertainty,” is
Md Maruf Billah +7 more
wiley +1 more source
Tensor denoising of quantitative multi‐parameter mapping
Abstract Purpose Quantitative multi‐parameter mapping (MPM) provides maps of physical quantities representing physiologically meaningful tissue characteristics, which allows to investigate microstructure‐function relationships reflecting normal or pathologic processes in the brain.
Helge Herthum, Stefan Hetzer
wiley +1 more source
A Study of the Early Cosmic Dynamics in a Multifield Model of Inflation and Curvature Perturbations
In this work, we study the cosmological dynamics of the early universe by employing a small field potential in the context of multifield inflation. By investigating analytically the cosmological observables, such as the number of e‐folds N, potential slow‐roll parameters ϵV, ηV, and spectral index ns which carry significant information, we show that ...
Muhammad Zahid Mughal +4 more
wiley +1 more source
Feasibility of Accelerated Prostate Diffusion-Weighted Imaging on 0.55 T MRI Enabled With Random Matrix Theory Denoising. [PDF]
Lemberskiy G +8 more
europepmc +1 more source
Biwhitening Reveals the Rank of a Count Matrix. [PDF]
Landa B, Zhang TTCK, Kluger Y.
europepmc +1 more source
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics. [PDF]
Hu Y, Sompolinsky H.
europepmc +1 more source
Quasiuniversal scaling in mouse-brain neuronal activity stems from edge-of-instability critical dynamics. [PDF]
Morales GB, di Santo S, Muñoz MA.
europepmc +1 more source

