In the quantum realm, the past, present, and future blur into a boundless structure. But consciousness may operate on a plane ...

Considers philosophical topics and concepts related to the natural sciences, such as: science and pseudo-science; scientific method; the nature of explanation, theory, confirmation, and falsification; ...

The history and philosophy of medicine explore the evolution ... Finally, the complexities of causality in medical research, particularly in psychotherapy, highlight the need for evidential ...

The UCL History and Philosophy of Science MSc provides an intensive introduction to core themes, methods and concepts of the history and philosophy of science. The programme is delivered by a faculty ...

Mixed-frequency time-frequency canonical correlation analysis (MF-TFCCA) is a method for identifying causal relationships between time series of different temporal resolutions.

Causal inference is a broad discipline, intersecting with not only statistics and machine learning, but medicine, philosophy, public policy, and much more. Important contributions can be made in ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

The Austrian school recognizes that economic analysis is timeless and the ancient story of “The Poor Man of Nippur” provides an excellent example. From time preference to the structure of production, ...

Are you making your own decisions and mainlining causality like a sucker? Why go through the agony, when you could hand over the railway switch of determinism to a machine that can decide things ...

Consequently, many causal factors must have been left untargeted in any of the clinical trials. So, the only way any intervention studied could have yielded significant outcome changes would be if ...