Results 201 to 210 of about 1,483,088 (317)
Recent advancements in integer-valued autoregressive models for count data time series: A comprehensive review. [PDF]
MethodsXSerrao V, Poojari S, Kamath A.
europepmc +1 more source
High Relative Accuracy Computations With Covariance Matrices of Order Statistics
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT In many statistical applications, numerical computations with covariance matrices need to be performed. The error made when performing such numerical computations increases with the condition number of the covariance matrix, which is related to the number of variables and the strength of the correlation between the variables. In a recent work,
Juan Baz +3 more
wiley +1 more source
Thouless quantum walks in topological flat bands. [PDF]
Light Sci ApplDanieli C, Conti C, Pilozzi L, Brosco V.
europepmc +1 more source
OPERATOR METHODS, ABELIAN PROCESSES AND DYNAMIC CONDITIONING
A mathematical framework for Continuous Time Finance based on operator algebraic methods oers a new direct and entirely constructive perspective on the field.
Albanese, Claudio
core
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Entanglement generation between different center-of-mass motions in double levitated micromagnet system. [PDF]
Sci RepLiu W, Rao S.
europepmc +1 more source
Geometric theory of a single Markov operator [PDF]
Pacific Journal of Mathematics, 1968 openaire +3 more sources
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
Operator-level quantum acceleration of non-logconcave sampling. [PDF]
Proc Natl Acad Sci U S ALeng J, Ding Z, Chen Z, Lin L.
europepmc +1 more source