Decomposing a Sequence into Independent Subsequences Using Compression Algorithms Hoang Thanh Lam Julia Kiseleva

Source URL: poloclub.gatech.edu

• Estimation theory
• Expectationmaximization algorithm
• Missing data
• LempelZivWelch
• Applied mathematics
• Statistics
• Computer programming

Submission for the 2012 IAOS Prize for Young Statisticians Title of the paper: Exploratory analysis of the patterns of missing data in the UIS education database Name: Miguel Ibáñez Salinas Title:

Source URL: www.iaos-isi.org

The Missing Manual: Using National Student Clearinghouse Data to Track Postsecondary Outcomes ∗ Susan M. Dynarski University of Michigan

Source URL: www-personal.umich.edu

• Education
• United States Department of Education
• Education in the United States
• Statistics
• Integrated Postsecondary Education Data System
• Data Quality Campaign
• National Center for Education Statistics
• American Community Survey
• Data

Exponential Stochastic Cellular Automata for Massively Parallel Inference Michael Wick Oracle Labs,

Source URL: manzil.ml

• Estimation theory
• Expectationmaximization algorithm
• Missing data
• Exponential family
• Latent Dirichlet allocation
• Symbol
• Variational Bayesian methods

Simple Motivating Example Likelihood and the Missing Data Problem The EM Algorithm and Amelia An Example in Amelia Section 12: Missing Data1 April 19, 2012

Source URL: www.jenpan.com

What are we missing? Write in your projects and parterships here! Describe Partnership here: •  FCI (Florida Climate Ins8tute): Florida’s SECC scien4sts and Sea Grant have given expert advice and made data availab

Source URL: www.seclimate.org

Apache Zeppelin, the missing component for your BigData ecosystem DuyHai DOAN, Cassandra Technical Advocate @doanduyhai

Source URL: events.linuxfoundation.org

• Computing
• Data management
• Software
• NoSQL
• Apache Software Foundation
• Java platform
• Hadoop
• Cluster computing
• DataStax
• Apache Spark
• Apache Cassandra
• Cassandra

Optimal shape from motion estimation with missing and degenerate data Manuel Marques and Jo˜ao Costeira Institute for Systems and Robotics - Instituto Superior T´ecnico Av. Rovisco PaisLisboa PORTUGAL {manu

Source URL: users.isr.ist.utl.pt

DataZapper: A Tool for Generating Incomplete Datasets Yingying Wen, Kevin B. Korb and Ann E. Nicholson Bayesian Intelligence Pty Ltd, 2/21 The Parade, Clarinda, VIC 3169, Australia , {kevin.korb,ann.nich

Source URL: bayesian-intelligence.com

• Data
• Statistical analysis
• Statistics
• Computing
• Imputation
• Missing data
• Data set
• Data analysis

Ann Inst Stat Math:329–351 DOIs10463Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data Ke-Hai Yuan · Wai Chan · Yubin Tian

Source URL: www.ism.ac.jp

• Statistics
• Estimation theory
• Covariance matrix
• Estimator
• Maximum likelihood estimation
• Variance
• Covariance
• Regression analysis
• M-estimator
• Normal distribution
• Linear regression
• Expected value