Beat about the bush or cut to the chase? How the sequencing of issues in mediation processes affects the likelihood of reaching a negotiated agreement Magnus Öberg & Frida Möller Department of Peace and Conflict Resear

Source URL: www.pcr.uu.se

• Mediation
• Conflict resolution
• Conflict management
• Negotiation
• Conflict resolution research
• Family mediation in Germany
• Dispute resolution
• Conflict
• Sociology

ESTIMATION OF UNNORMALIZED STATISTICAL MODELS WITHOUT NUMERICAL INTEGRATION Michael U. Gutmann1,3 and Aapo Hyv¨arinen1,2,3 1

Source URL: www.me.inf.kyushu-u.ac.jp

• Maximum likelihood
• Parametric model
• Likelihood function
• Exponential family
• Consistent estimator
• Score
• Fisher information
• Extremum estimator
• Estimation theory
• Statistics
• Statistical theory

DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien Computer Science Division UC Berkeley

Source URL: www.cs.berkeley.edu

• Statistical classification
• Statistical models
• Information retrieval
• Latent Dirichlet allocation
• Linear discriminant analysis
• Probabilistic latent semantic analysis
• Mixture model
• Topic model
• Maximum likelihood
• Statistics
• Statistical natural language processing
• Machine learning

Predicting Simulation Parameters of Biological Systems using a Gaussian Process Model Xiangxin Zhu, Max Welling Fang Jin, John Lowengrub

Source URL: www.ics.uci.edu

• Statistical theory
• Statistical models
• Normal distribution
• Parametric model
• Regression analysis
• Gaussian process
• Expectation–maximization algorithm
• Maximum likelihood
• Statistics
• Estimation theory
• Econometrics

Microsoft PowerPoint - SteveZech [Compatibility Mode]

Source URL: www.csss.washington.edu

• Regression analysis
• Model selection
• Maximum likelihood
• Statistical theory
• Cross-validation
• Statistical power
• Logistic regression
• Statistics
• Estimation theory
• M-estimators

Jordan Journal of Mathematics and Statistics (JJMS) 4(1), 2011, ppLONGITUDINAL DATA ANALYSIS USING GENERALIZED MAXIMUM ENTROPY APPROACH MOHAMMAD Y. AL-RAWWASH(1) AND AMJAD D. AL-NASSER(2)

Source URL: journals.yu.edu.jo

• Estimation theory
• Maximum likelihood
• Generalized linear model
• Normal distribution
• Principle of maximum entropy
• Ordinary least squares
• Entropy
• Standard deviation
• Statistics
• Statistical theory
• Regression analysis

A Hierarchical Field Framework for Unified Context-Based Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu.edu Abstract

Source URL: www.sanjivk.com

• Vision
• Imaging
• Bayesian statistics
• Object recognition
• Segmentation
• Maximum likelihood
• Finitary relation
• Bayesian network
• One-shot learning
• Computer vision
• Image processing
• Statistics

WORKING TOGETHER WE CAN MAKE A DIFFERENCE The Clean Angling Coalition has one major objective – to promote the practice of clean angling to reduce the likelihood that new invaders will be introduced to our waters. We n

Source URL: www.stopans.org

Testable implications of affine term structure models

Source URL: faculty.chicagobooth.edu

• Singular value decomposition
• Numerical linear algebra
• Fixed income market
• Yield curve
• 1Y
• 2Y
• Kernel
• Eigenvalues and eigenvectors
• Maximum likelihood
• Algebra
• Linear algebra
• Mathematics

Bayesian Extreme Components Analysis

Source URL: www.ics.uci.edu

• Estimation theory
• Singular value decomposition
• Bayesian statistics
• Multivariate statistics
• Principal component analysis
• Maximum likelihood
• Mixture model
• Bayesian inference
• Eigenvalues and eigenvectors
• Statistics
• Algebra
• Statistical theory