Robustifying Bayesian nonparametric mixtures for count data Antonio Canale Department of Economics and Statistics and Collegio Carlo Alberto, University of Torino, Torino, Italy

Source URL: www.carloalberto.org

• Stochastic processes
• Statistical models
• Probability distributions
• Machine learning
• Statistical theory
• Mixture model
• PitmanYor process
• Dirichlet process
• Parametric model
• Poisson distribution
• Nonparametric statistics

OECD QSAR Toolbox v.3.3 Example for predicting acute aquatic toxicity to fish of mixture with known components Outlook

Source URL: www.qsartoolbox.org

Combining observation models in dual exposure problems using the Kullback-Leibler Divergence

Source URL: decsai.ugr.es

• Statistics
• Probability
• Mathematical analysis
• Probability distributions
• Differential forms
• Thermodynamics
• Gamma distribution
• Closed and exact differential forms
• NC
• Constructible universe
• Mixture model
• Normal distribution

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan*1 , Animesh Garg*2 , Sachin Patil1 , Colin Lea3 , Gregory Hager3 , Pieter Abbeel1 , Ken Goldberg1,2 *denotes e

Source URL: goldberg.berkeley.edu

• Statistics
• Markov models
• Machine learning
• Computational statistics
• Cluster analysis
• Mixture model
• Image segmentation
• Hidden Markov model
• K-means clustering
• Expectationmaximization algorithm
• BaumWelch algorithm
• Hierarchical clustering

Submitted to INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Numer. Meth. Fluids 2007; 00:1–6 Prepared using fldauth.cls [Version: v1.01] Homogeneous Equilibrium Mixture Model for Simulation of

Source URL: scales.colorado.edu

Bayesian Analysis, Number 4, pp. 631–652 Hierarchical Bayesian Modeling of Hitting Performance in Baseball

Source URL: www-stat.wharton.upenn.edu

• 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

U.S. Army photo by Sgt. 1st Class Brian Hamilton “…An evaluation and identification of force generation policies for the Army with respect to size and force mixture in order to fulfill current and anticipated missio

Source URL: www.ncfa.ncr.gov

Accounting for Data Dependencies within a Hierarchical Dirichlet Process Mixture Model Dongwoo Kim Alice Oh

Source URL: arongdari.github.io

Deformable Model Fitting with a Mixture of Local Experts Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA {jsaragih,slucey,jeffcohn}@cs.cmu.edu

Source URL: www.ri.cmu.edu

BIOINFORMATICS APPLICATIONS NOTE Vol. 22 no, pages 768–770 doi:bioinformatics/btk051 Genetics and population analysis

Source URL: evolution.gs.washington.edu

• Statistics
• Statistical theory
• Estimation theory
• Statistical inference
• Population genetics
• Statistical genetics
• Coalescent theory
• Haplotype
• Mixture model
• Bayesian inference
• Point estimation
• Models of DNA evolution