Multi-output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation Ognjen Rudovic1 , Vladimir Pavlovic2 and Maja Pantic1,3 1 Comp. Dept., Imperial College London, UK 2

Source URL: seqam.rutgers.edu

0.1 oprobit: Ordinal Probit Regression for Ordered Categorical Dependent Variables Use the ordinal probit regression model if your dependent variables are ordered and categorical. They may take on either integer values

Source URL: perso.md2t.eu

0.1 ologit: Ordinal Logistic Regression for Ordered Categorical Dependent Variables Use the ordinal logit regression model if your dependent variable is ordered and categorical,

Source URL: perso.md2t.eu

• Econometrics
• Logistic regression
• Logit
• Ordered probit
• Poisson regression
• Multinomial logit
• Linear probability model
• Statistics
• Regression analysis
• Categorical data

Spatial odds ratio of disease in epidemiological studies with ordinal responses: a methodology using package VGAM. Ana Carolina Cintra Nunes Mafra1,2,* , Ricardo Cordeiro1,2, Celso Stephan1,2 1. 2. *

Source URL: math.agrocampus-ouest.fr

• Categorical data
• Spatial data analysis
• Medical statistics
• Logistic regression
• Spatial analysis
• Level of measurement
• Ordered logit
• Odds ratio
• Statistics
• Epidemiology
• Regression analysis

Ordinal Regression by Extended Binary Classification Hsuan-Tien Lin Learning Systems Group California Institute of Technology

Source URL: www.work.caltech.edu

• Ensemble learning
• Perceptron
• Support vector machine
• Supervised learning
• Margin classifier
• AdaBoost
• Regression analysis
• Statistics
• Statistical classification
• Machine learning

Supplemental Information Appendix For: Modeling Two Types of Zeros in Ordinal Data: The Zero-inflated Ordered Probit (ZiOP) Model in Conflict Research In this supplemental appendix, we first describe the ZiOP C model, an

Source URL: myweb.fsu.edu

• Econometrics
• Estimation theory
• Bias
• Maximum likelihood
• Bias of an estimator
• Inflation
• Confidence interval
• Statistics
• Statistical theory
• Regression analysis

Choosing Statistical Analyses Decision Tree Level of measurement of the DV? Nominal or Ordinal

Source URL: www.muhlenberg.edu

• Parametric statistics
• Scientific method
• Analysis of variance
• Linear regression
• Logistic regression
• Non-parametric statistics
• Level of measurement
• Analysis of covariance
• Statistics
• Regression analysis
• Econometrics

LOSS FUNCTIONS FOR BINARY CLASSIFICATION AND CLASS PROBABILITY ESTIMATION YI SHEN A DISSERTATION

Source URL: stat.wharton.upenn.edu

• Regression analysis
• Loss function
• Statistical theory
• Scoring rule
• Linear regression
• Ordinal number
• Constructible universe
• Statistics
• Econometrics
• Decision theory

Statistical Machine Translation using Ordinal Regression and Beam Search Decoder Ankit Patel Shruthi Narayan Manekta Bedi Srikanth Muralidharan

Source URL: www.sfu.ca

• Evaluation of machine translation
• Neural networks
• Machine translation
• Statistical machine translation
• Statistical natural language processing
• Perceptron
• BLEU
• Algorithm
• Dynamic programming
• Mathematics
• Statistics
• Applied mathematics

Contingency Tables With Ordinal Variables David Howell presents a nice example of how to modify the usual Pearson 2 analysis if you wish to take into account the fact that one (or both) of your classification variables

Source URL: core.ecu.edu

• Parametric statistics
• Estimation theory
• Nutrition
• Linear
• Escalator
• Obesity
• Overweight
• Stairway
• Chi-squared test
• Statistics
• Body shape
• Regression analysis