Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: The probabilistic representation of the proof is often criticized for failing adequately, to reflect the quantity or weight of evidence. There are cases (such as the naked statistical ...

"""Returns the normalized eigenfunction for a given quantum number n. Supports 'particle_in_box', 'harmonic_oscillator', and 'double_well'.

Theory Department, Max-Planck-Institute of Microstructure Physics, Weinberg 2, 06120 Halle (Saale), Germany Article Views are the COUNTER-compliant sum of full text article downloads since November ...

Inverse probability distributions for inference about a discrete parameter with an infinity of possible values are considered, based on discrete data. Their expectation consistency with the ...