Traditional CPH models rely on a linear combination of covariates weighted with coefficients as the log-risk function, which imposes a strong and restrictive assumption, limiting generalization.

Nakhchivan State University, Nakhchivan, Azerbaijan. In the present paper we investigate the effect of the weight function on global solvability of Cauchy problems (1) and (2). In the sequel, by, we ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons ...

This post was updated April 22 at 8:46 p.m. Megan Timpane is using humor to unlock raw vulnerability and human connection.

Interestingly, the company says it’ll also use non-linear font scaling so that text that’s already large won’t see further size increases. For example, a heading might not see a size ...

Abstract: In this paper, we develop a systematic method for constructing a generalized discrete-time control Lyapunov function for the flexible-step Model Predictive Control (MPC) scheme, recently ...

Abstract: A novel method for the estimation of nonlinear interference (NLI) penalties in optical networks is presented. Its theoretical derivation is grounded in linear least squares (LLS) ...

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European ...