Question: The classical definition or interpretation of probability is identified with the works of Pierre-Simon Laplace, and who?
Context: In linear algebra, the Laplace expansion, named after Pierre-Simon Laplace, also called cofactor expansion, is an expression for the determinant |"B"| of an "n" × "n" matrix "B" that is a weighted sum of the determinants of "n" sub-matrices of "B", each of size ("n"−1) × ("n"−1).  The Laplace expansion is of theoretical interest as one of several ways to view the determinant, as well as of practical use in determinant computation. In probability theory, the rule of succession is a formula introduced in the 18th century by Pierre-Simon Laplace in the course of treating the sunrise problem. In probability theory and statistics, the Laplace distribution is a continuous probability distribution named after Pierre-Simon Laplace.  It is also sometimes called the "double exponential distribution", because it can be thought of as two exponential distributions (with an additional location parameter) spliced together back-to-back, although the term 'double exponential distribution' is also sometimes used to refer to the Gumbel distribution.  The difference between two independent identically distributed exponential random variables is governed by a Laplace distribution, as is a Brownian motion evaluated at an exponentially distributed random time.  Increments of Laplace motion or a variance gamma process evaluated over the time scale also have a Laplace distribution. The classical definition or interpretation of probability is identified with the works of Jacob Bernoulli and Pierre-Simon Laplace.  As stated in Laplace's "Théorie analytique des probabilités", Pierre-Simon, marquis de Laplace ( ; ] ; 23 March 1749 – 5 March 1827) was an influential French scholar whose work was important to the development of mathematics, statistics, physics and astronomy.  He summarised and extended the work of his predecessors in his five-volume "Mécanique Céleste" ("Celestial Mechanics") (1799–1825).  This work translated the geometric study of classical mechanics to one based on calculus, opening up a broader range of problems.  In statistics, the Bayesian interpretation of probability was developed mainly by Laplace. The Laplace–Stieltjes transform, named for Pierre-Simon Laplace and Thomas Joannes Stieltjes, is an integral transform similar to the Laplace transform.  For real-valued functions, it is the Laplace transform of a Stieltjes measure, however it is often defined for functions with values in a Banach space.  It is useful in a number of areas of mathematics, including functional analysis, and certain areas of theoretical and applied probability. Bayesian inference refers to a probabilistic method developed by Reverend Thomas Bayes based on Bayes' theorem.  Published posthumously in 1763 it was the first expression of inverse probability and the basis of Bayesian inference.  Independently, unaware of Bayes work, Pierre-Simon Laplace developed Bayes' theorem in 1774. In differential geometry, the Laplace operator, named after Pierre-Simon Laplace, can be generalized to operate on functions defined on surfaces in Euclidean space and, more generally, on Riemannian and pseudo-Riemannian manifolds.  This more general operator goes by the name Laplace–Beltrami operator, after Laplace and Eugenio Beltrami.  Like the Laplacian, the Laplace–Beltrami operator is defined as the divergence of the gradient, and is a linear operator taking functions into functions.  The operator can be extended to operate on tensors as the divergence of the covariant derivative.  Alternatively, the operator can be generalized to operate on differential forms using the divergence and exterior derivative.  The resulting operator is called the Laplace–de Rham operator (named after Georges de Rham). In the history of science, Laplace's demon was the first published articulation of causal or scientific determinism by Pierre-Simon Laplace in 1814.  According to determinism, if someone (the Demon) knows the precise location and momentum of every atom in the universe, their past and future values for any given time are entailed; they can be calculated from the laws of classical mechanics. In mathematics and physics, the vector Laplace operator, denoted by formula_1, named after Pierre-Simon Laplace, is a differential operator defined over a vector field.  The vector Laplacian is similar to the scalar Laplacian.  Whereas the scalar Laplacian applies to a scalar field and returns a scalar quantity, the vector Laplacian applies to a vector field, returning a vector quantity.  When computed in orthonormal Cartesian coordinates, the returned vector field is equal to the vector field of the scalar Laplacian applied to each vector component.
Answer: Jacob Bernoulli