The analysis in this article does not use actual data obtained directly from note. I have used simulation data (n=500) generated in Python based on parameters set by the author using prior research ...

1 Department of Mathematics, University of Labe (UL), Labe, Guinea Conakry. 2 Department of Mathematics and Computer Science, University of Cheikh. A. Diop, Dakar, Senegal. 3 West African Institute of ...

StateSpaceDynamics.jl is a comprehensive and self-contained Julia package for working with probabilistic state space models (SSMs). It implements a wide range of state-space models, taking inspiration ...

Operational risk modelling is a critical practice in financial institutions to quantify potential losses from internal processes, human errors, systems failures, or external events. One effective ...

Timescales characterize the pace of change for many dynamic processes in nature. They are usually estimated by fitting the exponential decay of data autocorrelation in the time or frequency domain.

Fluorescence-lifetime single molecule localization microscopy (FL-SMLM) adds the lifetime dimension to the spatial super-resolution provided by SMLM. Independent of intensity and spectrum, this ...

Predictive microbiology models explain bacterial number variations over time and how growth/inactivation rates are affected by environmental conditions (Lammerding and Fazil, 2000). In the development ...

We present a general purpose, open-source software library for estimation of non-linear parameters by the Levenberg-Marquardt algorithm. The software, Gpufit, runs on a Graphics Processing Unit (GPU) ...