Deterministic Latent Variable Models and their Pitfalls Max Welling∗ Chaitanya Chemudugunta Nathan Sutter Bren School of Information and Computer Science University of California, Irvine

Source URL: www.ics.uci.edu

• Information theory
• Statistical natural language processing
• Categorical data
• Probabilistic latent semantic analysis
• Expectation–maximization algorithm
• Perplexity
• Entropy
• Kullback–Leibler divergence
• Likelihood function
• Statistics
• Estimation theory
• Statistical theory

Visualizing Categorical Data: Data, Stories, and Pictures Michael Friendly York University,

Source URL: www.datavis.ca

• Statistical models
• Dummy variable
• Econometrics
• Data analysis
• Logistic regression
• Michael Friendly
• Contingency table
• Premarital sex
• Plot
• Statistics
• Categorical data
• Regression analysis

Partition Models As A Framework For Multiplicative Models For Categorical Data Anna Klimova, Department Of Statistics, University Of Washington Joint Work With Tamas Rudas, Adrian Dobra June 4, 2009 {n0:χ2(n0)≥χ2(n)

Source URL: www.csss.washington.edu

• Number theory
• Markov chain
• Partition
• Lattice
• Mathematics
• Combinatorics
• Integer sequences

Computational Statistics & Data Analysis – 508 www.elsevier.com/locate/csda Visualizing categorical data in ViSta Pedro M. Valero-Moraa , Forrest W. Youngb;∗ , Michael Friendlyc a Departmento

Source URL: www.datavis.ca

The Separation Plot: A New Tool for Visualizing Predictive Power Brian Greenhill & Michael D. Ward Department of Political Science & CSSS, University of Washington 1. Objectives 3. Applications in model fitting

Source URL: www.csss.washington.edu

• Scientific method
• Data
• Regression analysis
• Logistic regression
• Logit
• Economic model
• Prediction
• Probability
• Statistics
• Information
• Science
• Categorical data

2015 IEEE CS Security and Privacy Workshops Privacy-Preserving Statistical Analysis by Exact Logistic Regression David A. duVerle∗† , Shohei Kawasaki‡ , Yoshiji Yamada§ , Jun Sakuma‡¶ and Koji Tsuda∗

Source URL: www.genopri.org

• Public-key cryptography
• Categorical data
• Electronic commerce
• Logistic regression
• XTR
• Linear regression
• RSA
• Paillier cryptosystem
• Mental poker
• Statistics
• Regression analysis
• Econometrics

Tutorial – Case Studies R.R. 1 Topic Clustering algorithm for mixed data (numeric and categorical attributes), using the latent variables

Source URL: eric.univ-lyon2.fr

Working with categorical data with R and the vcd and vcdExtra packages Michael Friendly York University, Toronto Using vcdExtra versionand vcd version; Date:

Source URL: cran.us.r-project.org

biostatistics and biocomputing categorical data analysis clustering and classification computer-aided data analysis computational Bayesian methods computational econometrics

Source URL: www.compstat2014.org

Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fit

Source URL: www.timvanerven.nl

• Econometrics
• Actuarial science
• Statistical classification
• Naive Bayes classifier
• Training set
• Logistic regression
• Overfitting
• Generalized linear model
• Supervised learning
• Statistics
• Regression analysis
• Machine learning