GitHub

walker: Bayesian Generalized Linear Models with Time-Varying Coefficients

Pull request by Ben Goodrich for fixing the issue with clang4. New version on it's way to CRAN.
Frontiers

A novel zeroing neural network for dynamic sylvester equation solving and robot trajectory tracking

To solve the theoretical solution of dynamic Sylvester equation (DSE), we use a fast convergence zeroing neural network (ZNN) system to solve the time-varying problem. In this paper, a new activation ...
IEEE

Fusion of Probability Density Functions

Abstract: Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of ...
IEEE

End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables

Abstract: Time series with missing values (incomplete time series) are ubiquitous in real life on account of noise or malfunctioning sensors. Time-series imputation (replacing missing data) remains a ...
Scientific Research Publishing

ExpDes: An R Package for ANOVA and Experimental Designs ()

Analysis of variance (ANOVA) is a usual way for analysing experiments. However, depending on the design and/or the analysis scheme, it can be a hard task. ExpDes, acronym for Experimental Designs, is ...
PNAS

A fast randomized algorithm for overdetermined linear least-squares regression

Least-squares fitting has permeated the sciences and engineering after its introduction over two centuries ago (see, for example, ref. 1 for a brief historical review). Linear least-squares regression ...