We compare the predicted conditional mass function (CMF) of dark matter haloes from two theoretical prescriptions against numerical N-body simulations, both in overdense and underdense regions and at ...

Conditional probability is the likelihood of an event occurring based on the occurrence of an earlier event. The second event is dependent on the first event.

For each modification, two formats were employed to approximate the conditional cumulative distribution function; these are Barndorff-Nielson formats and the Lugannani and Rice formats. All ...

Concretely, for an input random variable \ (X \ge 0 \) the Poisson noise channel is dictated by the following conditional probability mass function (pmf) of the output random variable \ (Y\): ...

Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

The conditional beta distribution is proposed as a parametric model of the probability distribution of agricultural output. A two-stage maximum likelihood estimation procedure is shown to produce ...

GCSE AQA Probability - AQA Conditional probability - Higher Probabilities can be written as fractions, decimals or percentages on a scale from 0 to 1. Knowing basic facts about equally likely ...

GCSE OCR Probability - OCR Conditional probability - Higher Probabilities can be written as fractions, decimals or percentages on a scale from 0 to 1. Knowing basic facts about equally likely ...