Until recently, Markov models and analytical methods were fairly obscure mathematical techniques rarely applied outside of academic settings. The advent of functional safety standards, particularly ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Reservoir modelling and history matching techniques form a cornerstone of modern subsurface engineering. These methodologies provide a framework for simulating geological formations and calibrating ...

Risk modeling comes in varying shapes and sizes throughout the financial world. Having previously worked as a derivatives trader on the Chicago Board Options Exchange and as a senior risk analyst, I ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

Advances in process modeling have given industry the tools to better understand the complex operations used to make medicines. The challenge now is understanding how best to combine the various ...

The field of gravity modelling and inversion techniques focuses on deciphering the Earth’s subsurface density distributions through the interpretation of gravitational measurements. At its core, this ...