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Mixture distribution
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#	Item
31	Scientific contributions with PhD students St´ephane Girard Inria Rhˆ one-Alpes & LJK (team MISTIS). 655, avenue de l’Europe, MontbonnotSaint-Ismier Cedex, France Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2016-05-04 05:59:46 Actuarial science Estimation theory Multivariate statistics Independence Machine learning Copula Heavy-tailed distribution Mixture model Normal distribution Quantile Regression analysis Maximum likelihood estimation
32	output/maye11bayesian.dvi Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-02-24 09:20:37 Bayesian statistics Probability distributions Mixture model Posterior predictive distribution Hidden Markov model Normal distribution Hyperparameter Prior probability Dirichlet distribution RT Image segmentation Dirichlet-multinomial distribution
33	Curb Detection for a Pedestrian Robot in Urban Environments Jérôme Maye, Ralf Kaestner, and Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland email: {jerome.maye, ralf.kaestner, roland.siegwart}@mavt.ethz Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-02-24 10:54:45 Estimation theory Expectationmaximization algorithm Missing data Mixture model Image segmentation Maximum likelihood estimation RANSAC Algorithm Normal distribution
34	1 Preprint of paper to appear at ECCV 2010 2 Add to Reading List Source URL: vast.uccs.edu Language: English - Date: 2010-10-23 12:03:49 Probability distributions Robust statistics Survival analysis Actuarial science Statistical theory Normalization Shape parameter Weibull distribution Normal distribution Mixture model Median Outlier
35	1 Event-based, 6-DOF Camera Tracking for High-Speed Applications Abstract—In contrast to standard cameras, which produce frames at a fixed rate, event cameras respond asynchronously to pixel-level brightness changes, Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2016-07-15 03:40:35 Robot control Computer animation Computer vision Probability distributions Exponentials Exponential family Kalman filter Pose Normal distribution Variational Bayesian methods Motion capture Mixture model
36	Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2014-01-10 12:37:27 Statistics Probability Statistical natural language processing Probability distributions Latent Dirichlet allocation Topic model Mixture model Dirichlet distribution Normal distribution Gibbs sampling Statistical inference
37	Robustifying Bayesian nonparametric mixtures for count data Antonio Canale Department of Economics and Statistics and Collegio Carlo Alberto, University of Torino, Torino, Italy Add to Reading List Source URL: www.carloalberto.org Language: English - Date: 2016-04-19 06:54:26 Stochastic processes Statistical models Probability distributions Machine learning Statistical theory Mixture model PitmanYor process Dirichlet process Parametric model Poisson distribution Nonparametric statistics
38	Combining observation models in dual exposure problems using the Kullback-Leibler Divergence Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2010-09-02 04:17:24 Statistics Probability Mathematical analysis Probability distributions Differential forms Thermodynamics Gamma distribution Closed and exact differential forms NC Constructible universe Mixture model Normal distribution
39	Bayesian Analysis, Number 4, pp. 631–652 Hierarchical Bayesian Modeling of Hitting Performance in Baseball Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2009-11-30 14:51:49 Statistics Probability Mathematical analysis Probability distributions Dirichlet distribution Mixture model Normal distribution Constructible universe Posterior predictive distribution Markov chain Relationships among probability distributions Beta distribution
40	Stat 542 Homework 2 - Due Tuesday, March 15 (12pm) You are required to submit a hard copy printed pdf document in class with answers to the following questions. This document must be generated using the LaTeX typesetting Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-02-13 10:25:34 Statistics Estimation theory Statistical models Statistical theory Cluster analysis Expectationmaximization algorithm Missing data Maximum likelihood estimation Normal distribution Mixture model Likelihood function

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