Density estimation with heteroscedastic error Aurore Delaigle Department of Mathematics, University of Bristol, Bristol BS8 1TW, UK and Department of Mathematics and Statistics, University of Melbourne, VIC, 3010, Austra

Source URL: www.ms.unimelb.edu.au

326 Contributed Discussion Comment by Julyan Arbel3 and Bernardo Nipoti4 In this discussion we focus on density estimation and show that BNP models naturally

Source URL: dl.dropboxusercontent.com

Compression-based methods for density estimation for time series Boris Ryabko Institute of Computational Technologies of Siberian Branch of Russian Academy of Science and Siberian State University of Telecommunications a

Source URL: boris.ryabko.net

Ann Inst Stat Math:413–437 DOIs10463Robust Bayes estimation using the density power divergence Abhik Ghosh · Ayanendranath Basu

Source URL: www.ism.ac.jp

• Statistics
• Statistical theory
• Estimation theory
• Statistical inference
• Bayesian statistics
• Bayesian inference
• Robust statistics
• Bayes estimator
• Estimator
• Bayes
• Robust Bayesian analysis
• Efficiency

CS229 Lecture notes Andrew Ng Mixtures of Gaussians and the EM algorithm In this set of notes, we discuss the EM (Expectation-Maximization) for density estimation. Suppose that we are given a training set {x(1) , . . . ,

Source URL: cs229.stanford.edu

Introduction to Time Series Analysis. LectureReview: Spectral density estimation, sample autocovariance. 2. The periodogram and sample autocovariance. 3. Asymptotics of the periodogram. 1

Source URL: www.stat.berkeley.edu

• Mathematical analysis
• Fourier analysis
• Signal processing
• Unitary operators
• Frequency domain analysis
• Integral transforms
• Fourier transform
• Spectral density estimation
• Spectral density
• Fourier
• Fourier series

Compression-based methods for nonparametric on-line prediction, regression, classification and density estimation of time series ∗ Boris Ryabko Siberian State University of Telecommunications and Informatics, Institute

Source URL: boris.ryabko.net

sm_reg_surface_noisy_60_b.eps

Source URL: dpkingma.com

• Statistics
• Machine learning
• Nonparametric statistics
• Estimation theory
• Computational statistics
• Kernel density estimation
• Pattern recognition
• Artificial neural network
• Mixture model
• Density estimation
• Inverse problem
• Maximum a posteriori estimation

Ann Inst Stat Math:301–327 DOIs10463Kernel estimators of mode under ψ-weak dependence Eunju Hwang · Dong Wan Shin

Source URL: www.ism.ac.jp

• Statistics
• Estimation theory
• Nonparametric statistics
• Statistical theory
• Estimator
• Density estimation
• L-estimator
• Asymptotic theory
• Heavy-tailed distribution

DENSITY ESTIMATION TECHNIQUES FOR GLOBAL ILLUMINATION A Dissertation Presented to the Faculty of the Graduate School of Cornell University

Source URL: www.graphics.cornell.edu