The basic problem of a theory of truth approximation is defining when a theory is “close to the truth” about some relevant domain. Existing accounts of truthlikeness or verisimilitude address this ...

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by AJ Brown, CEO and co-founder of LeadsRx.

Probabilistic programming languages (PPLs) have emerged as a transformative tool for expressing complex statistical models and automating inference procedures. By integrating probability theory into ...

The design and construction of capital projects can be extremely complex. Uncertainty and risk add to this complexity and, as a result, many projects experience significant cost overruns and schedule ...

The American Association of Petroleum Geologists president promotes wider reliance than exists now on probabilistic methods of estimating oil and gas reserves. Oil and gas reserves calculations can be ...

The purpose of the meeting is to bring together designers, licensees, operators, and regulators to share information on and practical examples of how to define and implement the defence in depth ...