On p-generalized elliptical random processes

[1]  W. Richter.  Statistical reasoning in dependent p-generalized elliptically contoured distributions and beyond , 2017 .

[2]  W. Richter,et al.  Exact distributions of order statistics from ln,p-symmetric sample distributions , 2017 .

[3]  W. Richter,et al.  Modelling extremal data , 2017 .

[4]  Byungtae Seo,et al.  Adaptive robust regression with continuous Gaussian scale mixture errors , 2017 .

[5]  Mohammed Nabil El Korso,et al.  MIMO Radar Target Localization and Performance Evaluation under SIRP Clutter , 2016, Signal Process..

[6]  W. Richter.  Exact inference on scaling parameters in norm and antinorm contoured sample distributions , 2016 .

[7]  Pengfei Li,et al.  Testing homogeneity in a scale mixture of normal distributions , 2016 .

[8]  Robert Piché,et al.  Gaussian Scale Mixture Models for Robust Linear Multivariate Regression with Missing Data , 2016, Commun. Stat. Simul. Comput..

[9]  W. Richter,et al.  Exact distributions of order statistics of dependent random variables from ln,p-symmetric sample distributions, n ∈ {3,4} , 2016 .

[10]  W. Richter,et al.  Extreme value distributions for dependent jointly ln,p-symmetrically distributed random variables , 2016 .

[11]  Kung Yao,et al.  Fading Models From Spherically Invariant Processes , 2015, IEEE Transactions on Wireless Communications.

[12]  W. Richter,et al.  Exact extreme value, product, and ratio distributions under non-standard assumptions , 2015 .

[13]  W. Richter.  Geometric disintegration and star-shaped distributions , 2014 .

[14]  Wolf-Dieter Richter,et al.  Simulation of the p-generalized Gaussian distribution , 2013 .

[15]  Zoltán Sasvári,et al.  Multivariate Characteristic and Correlation Functions , 2013 .

[16]  R. Schilling,et al.  Brownian Motion: An Introduction to Stochastic Processes , 2012 .

[17]  E. Hashorva.  Exact tail asymptotics in bivariate scale mixture models , 2012 .

[18]  E. Hashorva.  Exact Asymptotics of Bivariate Scale Mixture Distributions , 2009, 0904.0966.

[19]  W. Richter.  Continuous ln,p-symmetric distributions , 2009 .

[20]  Aarnout Brombacher,et al.  Probability... , 2009, Qual. Reliab. Eng. Int..

[21]  Miguel A. Gómez-Villegas,et al.  Multivariate Exponential Power Distributions as Mixtures of Normal Distributions with Bayesian Applications , 2008 .

[22]  W. Richter.  Generalized spherical and simplicial coordinates , 2007 .

[23]  R. Arellano-Valle,et al.  On the Unification of Families of Skew‐normal Distributions , 2006 .

[24]  Te-Won Lee,et al.  Multivariate Scale Mixture of Gaussians Modeling , 2006, ICA.

[25]  M. A. Gómez–Villegas,et al.  Sequences of elliptical distributions and mixtures of normal distributions , 2006 .

[26]  Ali Mansour,et al.  Instantaneous MISO separationof BPSK sources , 2006 .

[27]  G. Parisi.  Brownian motion , 2005, Nature.

[28]  S. T. Boris Choy,et al.  Scale Mixtures Distributions in Insurance Applications , 2003, ASTIN Bulletin.

[29]  Kung Yao,et al.  Spherically Invariant Random Processes: Theory and Applications , 2003 .

[30]  Martin J. Wainwright,et al.  Scale Mixtures of Gaussians and the Statistics of Natural Images , 1999, NIPS.

[31]  Tilmann Gneiting,et al.  Normal scale mixtures and dual probability densities , 1997 .

[32]  Arjun K. Gupta,et al.  Lp-norm spherical distribution , 1997 .

[33]  Muralidhar Rangaswamy,et al.  Computer generation of correlated non-Gaussian radar clutter , 1995 .

[34]  Y. Kano.  Consistency Property of Elliptic Probability Density Functions , 1994 .

[35]  K. Lange,et al.  Normal/Independent Distributions and Their Applications in Robust Regression , 1993 .

[36]  Marco Lops,et al.  Modelling and simulation of non-Rayleigh radar clutter , 1991 .

[37]  M. West.  On scale mixtures of normal distributions , 1987 .

[38]  H. Brehm,et al.  Description and generation of spherically invariant speech-model signals , 1987 .

[39]  Stamatis Cambanis,et al.  Spherically invariant processes: Their nonlinear structure, discrimination, and estimation , 1979 .

[40]  Gary L. Wise,et al.  On spherically invariant random processes (Corresp.) , 1978, IEEE Trans. Inf. Theory.

[41]  D. F. Andrews,et al.  Scale Mixtures of Normal Distributions , 1974 .

[42]  Kung Yao,et al.  A representation theorem and its applications to spherically-invariant random processes , 1973, IEEE Trans. Inf. Theory.

[43]  C. Radhakrishna Rao,et al.  Linear Statistical Inference and its Applications, Second Editon , 1973, Wiley Series in Probability and Statistics.

[44]  J. Kingman.  On random sequences with spherical symmetry , 1972 .

[45]  Ian F. Blake,et al.  On a class of processes arising in linear estimation theory , 1968, IEEE Trans. Inf. Theory.

[46]  Calyampudi R. Rao,et al.  Linear Statistical Inference and Its Applications. , 1975 .

[47]  Anatoly M. Vershik,et al.  Some Characteristic Properties of Gaussian Stochastic Processes , 1964 .

[48]  A. N. Kolmogorov,et al.  Foundations of the theory of probability , 1960 .

[49]  D. V. Widder,et al.  The Laplace Transform , 1943 .

[50]  A. Kolmogoroff.  Grundbegriffe der Wahrscheinlichkeitsrechnung , 1933 .

[51]  Francis Galton F.R.S..  IV. Statistics by intercomparison, with remarks on the law of frequency of error , 1875 .