Structured Learning of Gaussian Graphical Models Karthik Mohan∗, Michael Jae-Yoon Chung†, Seungyeop Han†, Daniela Witten‡, Su-In Lee§, Maryam Fazel∗ Abstract We consider estimation of multiple high-dimensional

Source URL: homes.cs.washington.edu

• Estimation theory
• Statistical models
• Gene regulatory network
• Systems biology
• Maximum likelihood
• Graphical model
• Connectivity
• Statistics
• Networks
• Bayesian statistics

M PRA Munich Personal RePEc Archive Choice probability generating functions Fosgerau, Mogens; McFadden, Daniel and Bierlaire, Michel Technical University of Denmark, University of California at

Source URL: orbit.dtu.dk

• Statistical models
• Probability distribution
• Discrete choice
• Copula
• Random variable
• Statistics
• Probability and statistics
• Measurement

How Should Mathematical Models of Geomorphic Processes be Judged? Richard M. Iverson U.S. Geological Survey, Vancouver, Washington Mathematical models of geomorphic processes can have value as both predictive tools and p

Source URL: profile.usgs.gov

• Economic model
• Geomorphology
• Mathematical model
• General relativity
• Scientific modelling
• Scientific theory
• Conceptual model
• Statistical model
• Model building
• Science
• Ethology
• Cognition

EINDHOVEN MATHEMATICS COLLOQUIUMS ´ de Gene `ve): Hugo Duminil (Universite Critical temperature of planar models of statistical physics

Source URL: www.win.tue.nl

Case study: Modelling the mushroom yields using expert opinions Jari Miina Finnish Forest Research Institute (Metla)

Source URL: www.nwfps.eu

• Econometrics
• Actuarial science
• Statistical models
• Linear regression
• Generalized linear model
• Vaccinium
• Analytic Hierarchy Process
• Flora
• Statistics
• Regression analysis

CBT: why and how ? Gilles GUILLARD Head of Unit "e-selection and test development" Special Interest Group inaugural meeting Budapest,

Source URL: www.testpublishers.org

• Educational psychology
• Standardized tests
• Civil Service of the European Union
• European Personnel Selection Office
• Statistical models
• Test
• Rasch model
• General Educational Development
• Graduate Record Examinations
• Education
• Evaluation
• Psychometrics

0.1 mlogit: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values Use the multinomial logit distribution to model unordered categorical variables. The dependent variable may be in the

Source URL: perso.md2t.eu

• Actuarial science
• Categorical data
• Multinomial logit
• Statistical models
• Multinomial distribution
• Logistic regression
• Generalized linear model
• Probability distribution
• Gauss–Markov theorem
• Statistics
• Regression analysis
• Econometrics

On the Use of Probabilistic Relational Affordance Models for Sequential Manipulation Tasks in Robotics Bogdan Moldovan Plinio Moreno

Source URL: www.poeticon.eu

• Machine learning
• Affordance
• Human–computer interaction
• Motor control
• Usability
• Science
• Statistical relational learning
• Relational model
• Causality
• Ethology
• Mind
• Programming paradigms

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

Advances in Latent Variable Modeling Using the New Mplus Version 7.2 Bengt Muth´en & Tihomir Asparouhov Mplus www.statmodel.com

Source URL: www.modeling.uconn.edu

• Multivariate statistics
• Structural equation models
• Graphical models
• Structural equation modeling
• Latent class model
• Hierarchical linear modeling
• Latent variable model
• Data analysis
• Latent variable
• Statistics
• Statistical models
• Psychometrics