Administrative Notes StatisticsLecture 20 •  Homework 6 is due in recitation on Friday, April 8th

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

• Statistics
• Statistical theory
• Statistical inference
• Hypothesis testing
• Design of experiments
• Measurement
• Normal distribution
• Confidence interval
• Statistical hypothesis testing
• Population proportion
• Standard error
• P-value

On the concentration of expectation and approximate inference in layered networks Michael I. Jordan University of California Berkeley, CA 94720

Source URL: dept.stat.lsa.umich.edu

• Graphical models
• Probability distributions
• Bayesian network
• Networks
• Normal distribution
• Variational Bayesian methods
• Belief propagation
• Exponential family

Opinion The origins of inquiry: inductive inference and exploration in early childhood Laura Schulz

Source URL: eccl.mit.edu

• Philosophy of science
• Statistical inference
• Behavioural sciences
• Cognitive psychology
• Information
• Causality
• Cognitive development
• Bayesian inference
• Bayesian network
• Developmental psychology
• Scientific method
• Psychology

Distributed Inference for Dirichlet Process Mixture Models Hong Ge Yutian Chen Moquan Wan Zoubin Ghahramani Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK

Source URL: www.cantab.net

Journal of Statistical Planning and Inference – 293 www.elsevier.com/locate/jspi Adaptive paired comparison design

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

• Statistics
• Probability
• Statistical theory
• Bayesian statistics
• Regression analysis
• Swiss-system tournament
• Operations research
• Normal distribution
• Prior probability
• Optimal design
• Probability distribution

Inference Attacks on Property-Preserving Encrypted Databases Muhammad Naveed UIUC∗

Source URL: seclab.illinois.edu

Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Probability
• Statistical natural language processing
• Probability distributions
• Latent Dirichlet allocation
• Topic model
• Mixture model
• Dirichlet distribution
• Normal distribution
• Gibbs sampling
• Statistical inference

EE512A – Advanced Inference in Graphical Models — Fall Quarter, Lecture 11 — http://j.ee.washington.edu/~bilmes/classes/ee512a_fall_2014/ Prof. Jeff Bilmes University of Washington, Seattle

Source URL: j.ee.washington.edu

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees Stephen H. Bach University of Maryland

Source URL: jmlr.org

UK-Causal Inference Meeting 2015 In Health, Economic and Social Sciences 15-17th APRIL 2015 PLUS OPTIONAL SHORT COURSE:

Source URL: sustain.bris.ac.uk