title: Concentration parameter
Von Mises–Fisher distribution
Fisher–Tippett–Gnedenko theorem
Fisher distribution
Liberalism (book)
Ludwig von Mises Institute
Behrens–Fisher distribution
Von Mises distribution
Bivariate von Mises distribution
Richard von Mises
sentences: 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.
In directional statistics, the von Mises–Fisher distribution (named after Ronald Fisher and Richard von Mises), is a
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.
Fisher distribution may refer to any of several probability distributions named after Ronald Fisher:
Liberalism (original German title: "Liberalismus") is an influential book by Austrian School economist and libertarian thinker Ludwig von Mises, containing economic analysis and indicting critique of socialism.
 It was first published in 1927 by Gustav Fischer Verlag in Jena and defending classical liberal ideology based on individual property rights.
 Starting from the principle of private property, Mises shows how the other classical liberal freedoms follow from property rights and argues that liberalism free of government intervention is required to promote peace, social harmony and the general welfare.
 The book was translated into English by a student of Mises, Ralph Raico, but its first English edition in 1962 was titled "The Free and Prosperous Commonwealth" rather than "Liberalism", as Mises thought that the literal translation would create confusion because the term liberalism after the New Deal and especially in the 1960s became widely used in the United States to refer to a centre-left politics that supports degrees of government intervention, in opposition to Mises' central premise.
 The English translation was made available online by the Ludwig von Mises Institute in 2000.
The Ludwig von Mises Institute (LvMI), often referred to as the Mises Institute, is a tax-exempt organization located in Auburn, Alabama, United States.
 It is named after Austrian School economist Ludwig von Mises (1881–1973).
 Its website states that it exists to promote "teaching and research in the Austrian school of economics, and individual freedom, honest history, and international peace, in the tradition of Ludwig von Mises and Murray N. Rothbard."
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).
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.
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.
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

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

 Your answer will be verified with exact match score. To ensure correct verification, only provide the answer within the <answer> </answer> tags. Do not put any sentences or reasoning process within the <answer> </answer> tags. 

Supporting Information: Paragraph 0 

 In directional statistics, the von Mises–Fisher distribution (named after Ronald Fisher and Richard von Mises), is a 

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Paragraph 1 

 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. 

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Paragraph 2 

 Fisher distribution may refer to any of several probability distributions named after Ronald Fisher: 

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Paragraph 3 

 The Ludwig von Mises Institute (LvMI), often referred to as the Mises Institute, is a tax-exempt organization located in Auburn, Alabama, United States.
 It is named after Austrian School economist Ludwig von Mises (1881–1973).
 Its website states that it exists to promote "teaching and research in the Austrian school of economics, and individual freedom, honest history, and international peace, in the tradition of Ludwig von Mises and Murray N. Rothbard." 

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Paragraph 4 

 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). 

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Paragraph 5 

 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. 

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Paragraph 6 

 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. 

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Paragraph 7 

 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 

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Answer: Harvard University.