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  2. Probabilistic numerics - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_numerics

    Bayesian optimization of a function (black) with Gaussian processes (purple). Three acquisition functions (blue) are shown at the bottom. [19]Probabilistic numerics have also been studied for mathematical optimization, which consist of finding the minimum or maximum of some objective function given (possibly noisy or indirect) evaluations of that function at a set of points.

  3. Gibbs measure - Wikipedia

    en.wikipedia.org/wiki/Gibbs_measure

    Here, E is a function from the space of states to the real numbers; in physics applications, E(x) is interpreted as the energy of the configuration x. The parameter β is a free parameter; in physics, it is the inverse temperature. The normalizing constant Z(β) is the partition function. However, in infinite systems, the total energy is no ...

  4. Boltzmann distribution - Wikipedia

    en.wikipedia.org/wiki/Boltzmann_distribution

    Boltzmann's distribution is an exponential distribution. Boltzmann factor ⁠ ⁠ (vertical axis) as a function of temperature T for several energy differences ε i − ε j.. In statistical mechanics and mathematics, a Boltzmann distribution (also called Gibbs distribution [1]) is a probability distribution or probability measure that gives the probability that a system will be in a certain ...

  5. Statistical mechanics - Wikipedia

    en.wikipedia.org/wiki/Statistical_mechanics

    In physics, statistical mechanics is a mathematical framework that applies statistical methods and probability theory to large assemblies of microscopic entities. Sometimes called statistical physics or statistical thermodynamics, its applications include many problems in the fields of physics, biology, [1] chemistry, neuroscience, [2] computer science, [3] [4] information theory [5] and ...

  6. Moment problem - Wikipedia

    en.wikipedia.org/wiki/Moment_problem

    Example: Given the mean and variance (as well as all further cumulants equal 0) the normal distribution is the distribution solving the moment problem.. In mathematics, a moment problem arises as the result of trying to invert the mapping that takes a measure to the sequence of moments

  7. Distribution of the product of two random variables - Wikipedia

    en.wikipedia.org/wiki/Distribution_of_the...

    A product distribution is a probability distribution constructed as the distribution of the product of random variables having two other known distributions. Given two statistically independent random variables X and Y, the distribution of the random variable Z that is formed as the product = is a product distribution.

  8. Maxwell–Boltzmann distribution - Wikipedia

    en.wikipedia.org/wiki/Maxwell–Boltzmann...

    The speed probability density functions of the speeds of a few noble gases at a temperature of 298.15 K (25 °C). The y-axis is in s/m so that the area under any section of the curve (which represents the probability of the speed being in that range) is dimensionless.

  9. Gaussian measure - Wikipedia

    en.wikipedia.org/wiki/Gaussian_measure

    One reason why Gaussian measures are so ubiquitous in probability theory is the central limit theorem. Loosely speaking, it states that if a random variable X {\displaystyle X} is obtained by summing a large number N {\displaystyle N} of independent random variables with variance 1, then X {\displaystyle X} has variance N {\displaystyle N} and ...