Law of Log Determinant of Sample Covariance Matrix and Optimal Estimation of Differential Entropy for High-Dimensional Gaussian Distributions T. Tony Cai1 , Tengyuan Liang1 , and Harrison H. Zhou2 Abstract

Source URL: www.stat.yale.edu

Wed.P7b.02 Gaussian Map based Acoustic Model Adaptation Using Untranscribed Data for Speech Recognition in Severely Adverse Environments

Source URL: www.utdallas.edu

• Computational linguistics
• Automatic identification and data capture
• Computer accessibility
• Speech recognition
• Mixture model
• Hidden Markov model
• Speech corpus

Majorization and entropy at the output of bosonic Gaussian channels Andrea Mari NEST, Scuola Normale Superiore and Istituto Nanoscienze-CNR, IPisa, Italy V. Giovannetti

Source URL: www.quantum-lab.org

GAUSSIAN FIELDS Notes for Lectures Ofer Zeitouni Department of Mathematics Weizmann Institute, Rehovot 76100, Israel and

Source URL: www.wisdom.weizmann.ac.il

• Stochastic processes
• Algebra of random variables
• Hilbert space
• Estimation theory
• KarhunenLove theorem
• Signal processing
• Gaussian free field
• Multivariate random variable
• Reproducing kernel Hilbert space
• Covariance
• Normal distribution
• Gaussian function

Asymptotically Normal and Efficient Estimation of arXiv:submitstat.ME] 23 Sep 2013 Covariate-Adjusted Gaussian Graphical Model Mengjie Chen, Program of Computational Biology and Bioinformatics,

Source URL: www.stat.yale.edu

Simulated Annealing ....................... Gaussian Mixture ............

Source URL: genome.sph.umich.edu

• Monte Carlo methods
• Mathematical optimization
• Mathematical analysis
• Metaheuristics
• Simulated annealing
• Numerical analysis
• Gibbs sampling
• Applied mathematics
• Global optimization
• Annealing
• Stochastic optimization

A new generative model for sounds: The Gaussian Modulation Cascade Process Richard Turner () Maneesh Sahani () Gatsby Computational Neuroscience Unit,

Source URL: www.gatsby.ucl.ac.uk

Gaussian Processes and Kernel Methods (G8325) Fall 2015 https://courseworks.columbia.edu John P. Cunningham

Source URL: stat.columbia.edu

• Machine learning
• Geostatistics
• Nonparametric statistics
• Gaussian process
• Bayesian optimization
• Kernel method
• Kernel
• Pattern recognition
• Supervised learning
• Kriging
• Nonparametric regression
• Reproducing kernel Hilbert space

Factoring Gaussian Precision Matrices for Linear Dynamic Models Joe Frankel and Simon King Centre for Speech Technology Research University of Edinburgh

Source URL: www.cstr.ed.ac.uk

Communications in Partial Differential Equations, 38: 92–134, 2013 Copyright © Taylor & Francis Group, LLC ISSNprintonline DOI: A Convergent Multiscale Gaussian-Beam

Source URL: math.stanford.edu