Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

📖 Start here: 5-minute introduction page — hero, install, five runnable snippets covering simulation → fitting → KS goodness-of-fit → decoding → SSGLM, plus a paper-example thumbnail gallery and v1.4 ...

Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA Correspondence to Dr Richard Miech, Institute for Social Research, University of Michigan, 426 Thompson, Ann Arbor, MI ...

Abstract: This paper investigates the robust identification of nonlinear systems in state-space setting with output measurements contaminated with outliers and part of output measurements missing at ...

Public health solutions to health misinformation need to recognise the complex, structural nature of the online information environment, write Tina D Purnat and Jocalyn Clark The challenges of health ...

Abstract: We consider nonparametric complex spectral estimation of data sequences with missing samples occurring in arbitrary patterns. Several nonparametric algorithms have recently been developed to ...

Does Congress really have the power to force a sale of TikTok? Last week, the House of Representatives voted overwhelmingly in favor of a bill that would require ...

To rock the interview to achieve what you deserve and to improve your concepts about front end technologies, I have consolidated a list of questions and answers. It's a one stop solution for front end ...

This document describes a real-world evidence framework that aims to improve the quality of real-world evidence informing our guidance. The framework does not set minimum standards for the ...

The fault of power systems introduces a severe challenge in terms of fault recording analysis, and the traditional Prony method cannot perform satisfactorily in the process of signal recordings ...

Measuring and improving individual development are actively tackled in psychological, educational, and behavioral sciences. In the past decades, cognitive diagnosis (Leighton and Gierl, 2007), which ...