Model checking for hidden Markov models
Hidden Markov models (HMMs) were first introduced in the late 1960s, and later applied widely in areas including speech recognition, bioinformatics, finance and seismology. Read more
Hidden Markov models (HMMs) were first introduced in the late 1960s, and later applied widely in areas including speech recognition, bioinformatics, finance and seismology. Read more
Recurrent neural networks (RNNs) are non-autonomous dynamical systems driven by input, the behaviour of which depend on both model parameters and inputs to the system. Read more
The Kathmandu Valley — the most developed and populated region in Nepal – is seismically active and has experienced recurring destructive earthquakes. Read more
Many earthquakes have been induced by human activities, including wastewater disposal, geothermal production, gas injection and hydraulic fracturing (HF). Read more
Scientists still lack a fundamental understanding of how and when complex many-body systems out of equilibrium will relax back to thermal equilibrium. Empirically, many systems do relax readily, justifying many of the core approximations of thermodynamics. Read more
Science on Screen: The Conformist (15) + Presentation by Professor Branko Milanovic
12 January 2021
Ergodicity Economics 2021 Online Conference
18 – 20 January 2021