Correcting for endogeneity using the EMIS method: a case study with revealed preference data Anna Fernández Antolín C. Angelo Guevara-Cue Michel Bierlaire

Source URL: www.strc.ch

• Statistics
• Estimation theory
• Statistical models
• Regression analysis
• Simultaneous equation methods
• Statistical methods
• Control function
• Endogeneity
• Instrumental variable
• Discrete choice
• Linear regression
• Latent variable model

Eureka Math™ Homework Helper 2015–2016 Precalculus Module 1 Lessons 1–30

Source URL: greatminds.net

• Functions and mappings
• Elementary algebra
• Linear algebra
• Complex number
• Linearity
• Equation
• Precalculus
• Linear map
• Mathematical fallacy
• Function
• Matrix
• Calculus

CS168: The Modern Algorithmic Toolbox Lecture #15: Gradient Descent Basics Tim Roughgarden & Gregory Valiant May 18,

Source URL: web.stanford.edu

• Numerical analysis
• Mathematical analysis
• Mathematical optimization
• Convex analysis
• Operations research
• Convex optimization
• Gradient descent
• Derivative
• Convex function
• Linear programming
• Gradient boosting
• FrankWolfe algorithm

Weighted importance sampling for off-policy learning with linear function approximation A. Rupam Mahmood, Hado van Hasselt, Richard S. Sutton Reinforcement Learning and Artificial Intelligence Laboratory University of Al

Source URL: ualberta.ca

Weiser’s Algorithm Computes Minimal Path-Faithful Slices of Function-linear, Free Program Schemas Mike Laurence Department of Computing, Goldsmiths College, London, UK

Source URL: sebastian.doc.gold.ac.uk

PDF Document

Source URL: www.neurotheory.columbia.edu

• Mathematical analysis
• Analysis
• Distribution
• Functional analysis
• Linear regression
• Limit of a function
• Symbol
• Table of stars with Bayer designations

The difference between Locations and Dimensions in grid Paul Murrell May 19, 2015 grid makes use of unit objects to express both the locations and dimensions of graphical components. For example, the grid.rect() function

Source URL: stat.ethz.ch

• Abstract algebra
• Vectors
• Analytic geometry
• Dimension
• Euclidean vector
• Dimensional analysis
• Coordinate system
• Vector space
• Algebra
• Mathematics
• Linear algebra

Using matrices to model symbolic relationships Ilya Sutskever and Geoffrey Hinton University of Toronto {ilya, hinton}@cs.utoronto.ca

Source URL: papers.nips.cc

• Matrices
• Matrix theory
• Matrix
• Function
• Logical matrix
• Algebra
• Linear algebra
• Mathematics

Paper to be presented at the DRUID 2011 on INNOVATION, STRATEGY, and STRUCTURE Organizations, Institutions, Systems and Regions at Copenhagen Business School, Denmark, June 15-17, 2011

Source URL: druid8.sit.aau.dk

• Estimation theory
• Design
• Parametric statistics
• Innovation
• Linear regression
• Errors and residuals in statistics
• Service innovation
• Ordinary least squares
• Function
• Statistics
• Regression analysis
• Econometrics

Shallow Packings in Geometry ∗ Esther Ezra † December 16, 2014 Abstract We refine the bound on the packing number, originally shown by Haussler, for shallow geometric set

Source URL: www.cims.nyu.edu

• Abstract algebra
• Algebraic topology
• Group theory
• Vector space
• Euclidean vector
• VC dimension
• Simplicial set
• Continuous function
• Abstract simplicial complex
• Algebra
• Mathematics
• Linear algebra