Question: At which University, did the scientist who gave his name, along with Ronald Fisher, to the Von Mises–Fisher distribution, hold a professorship ?

full_context: Document 1: Concentration parameter: In probability theory and statistics, a concentration parameter is a special kind of numerical parameter of a parametric family of probability distributions. Concentration parameters occur in two kinds of distribution: In the Von Mises–Fisher distribution, and in conjunction with distributions whose domain is a probability distribution, such as the symmetric Dirichlet distribution and the Dirichlet process. The rest of this article focuses on the latter usage.
Document 2: Richard von Mises: Richard Edler von Mises ( ; ] ; 19 April 1883 – 14 July 1953) was a scientist and mathematician who worked on solid mechanics, fluid mechanics, aerodynamics, aeronautics, statistics and probability theory. He held the position of Gordon-McKay Professor of Aerodynamics and Applied Mathematics at Harvard University. He described his work in his own words shortly before his death as being on
Document 3: Von Mises–Fisher distribution: In directional statistics, the von Mises–Fisher distribution (named after Ronald Fisher and Richard von Mises), is a
Document 4: Christopher Bingham: Christopher Bingham is an American statistician who introduced the Bingham distribution. In joint work with C. M. D. Godfrey and John Tukey he introduced complex demodulation into the analysis of time series. The Kent distribution is also known as the Fisher–Bingham distribution, is named after Bingham and the English biologist and statistician Ronald Fisher.
Document 5: Fisher–Tippett–Gnedenko theorem: In statistics, the Fisher–Tippett–Gnedenko theorem (also the Fisher–Tippett theorem or the extreme value theorem) is a general result in extreme value theory regarding asymptotic distribution of extreme order statistics. The maximum of a sample of iid random variables after proper renormalization can only converge in distribution to one of 3 possible distributions, the Gumbel distribution, the Fréchet distribution, or the Weibull distribution. Credit for the extreme value theorem (or convergence to types theorem) is given to Gnedenko (1948), previous versions were stated by Ronald Fisher and Leonard Henry Caleb Tippett in 1928 and Fréchet in 1927.
Document 6: Satya N. Atluri: Satya Atluri is currently a Professor in the Department of Mechanical Engineering at Texas Tech University. His research focuses upon the areas of aerospace and mechanics. His teaching and research interests are in the disciplinary areas of: computational mathematics; theoretical, applied, and computational mechanics of solids and fluids at various length and time scales; computer modeling in engineering and sciences; meshless and other novel computational methods; structural longevity, failure prevention, and health management.
Document 7: Behrens–Fisher distribution: In statistics, the Behrens–Fisher distribution, named after Ronald Fisher and Walter Behrens, is a parameterized family of probability distributions arising from the solution of the Behrens–Fisher problem proposed first by Behrens and several years later by Fisher. The Behrens–Fisher problem is that of statistical inference concerning the difference between the means of two normally distributed populations when the ratio of their variances is not known (and in particular, it is not known that their variances are equal).
Document 8: Andrey Kolmogorov: Andrey Nikolaevich Kolmogorov (Russian: Андрей Николаевич Колмогоров ; ] , 25 April 1903 – 20 October 1987) was a 20th-century Soviet mathematician who made significant contributions to the mathematics of probability theory, topology, intuitionistic logic, turbulence, classical mechanics, algorithmic information theory and computational complexity.
Document 9: Daniel Bernoulli: Daniel Bernoulli FRS ( ; ] ; 8 February 1700 – 17 March 1782) was a Swiss mathematician and physicist and was one of the many prominent mathematicians in the Bernoulli family. He is particularly remembered for his applications of mathematics to mechanics, especially fluid mechanics, and for his pioneering work in probability and statistics. His name is commemorated in the Bernoulli's principle, a particular example of the conservation of energy, which describes the mathematics of the mechanism underlying the operation of two important technologies of the 20th century: the carburetor and the airplane wing.
Document 10: Bivariate von Mises distribution: In probability theory and statistics, the bivariate von Mises distribution is a probability distribution describing values on a torus. It may be thought of as an analogue on the torus of the bivariate normal distribution. The distribution belongs to the field of directional statistics. The general bivariate von Mises distribution was first proposed by Kanti Mardia in 1975. One of its variants is today used in the field of bioinformatics to formulate a probabilistic model of protein structure in atomic detail.
Document 11: Ludwig Prandtl: Ludwig Prandtl (4 February 1875 – 15 August 1953) was a German engineer. He was a pioneer in the development of rigorous systematic mathematical analyses which he used for underlying the science of aerodynamics, which have come to form the basis of the applied science of aeronautical engineering. In the 1920s he developed the mathematical basis for the fundamental principles of subsonic aerodynamics in particular; and in general up to and including transonic velocities. His studies identified the boundary layer, thin-airfoils, and lifting-line theories. The Prandtl number was named after him.
Document 12: Morton Gurtin: Morton E. Gurtin is a mechanical engineer who became a mathematician and "de facto" mathematical physicist. He is an emeritus professor of mathematical sciences at Carnegie-Mellon University, where for many years he held an endowed chair as the Alumni Professor of Mathematical Science. His main work is in materials science, in the form of the mathematical, rational mechanics of non-linear continuum mechanics and thermodynamics, in the style of Clifford Truesdell and Walter Noll, a field also known under the combined name of "continuum thermomechanics". He has published over 250 papers, many among them in Archive for Rational Mechanics and Analysis, as well as a number of books.
Document 13: Richard S. Hamilton: Richard Streit Hamilton (born 1943) is Davies Professor of Mathematics at Columbia University.
Document 14: Von Mises distribution: In probability theory and directional statistics, the von Mises distribution (also known as the circular normal distribution or Tikhonov distribution) is a continuous probability distribution on the circle. It is a close approximation to the wrapped normal distribution, which is the circular analogue of the normal distribution. A freely diffusing angle formula_7 on a circle is a wrapped normally distributed random variable with an unwrapped variance that grows linearly in time. On the other hand, the von Mises distribution is the stationary distribution of a drift and diffusion process on the circle in a harmonic potential, i.e. with a preferred orientation. The von Mises distribution is the maximum entropy distribution for circular data when the real and imaginary parts of the first circular moment are specified. The von Mises distribution is a special case of the von Mises–Fisher distribution on the "N"-dimensional sphere.
Document 15: Fisher distribution: Fisher distribution may refer to any of several probability distributions named after Ronald Fisher:
ground_truth: Harvard University.