Search results with tag "Statistical models"

Mathematical Statistics, Lecture 2 Statistical Models

ocw.mit.edu

Statistical Models Deﬁnitions Examples Modeling Issues Regression Models Time Series Models Statistical Models: Examples Example 1.1.3 Two-Sample Model. X 1, X 2,..., X n i.i.d. with distribution function F (·) Y 1, Y 2,..., Y m i.i.d. with distribution function G (·) E.g., Sample n members of population A at random and m

Model, Statistics, Statistical, Mathematical, Mathematical statistics, Statistical models, Models statistical models

Neural Networks and Statistical Models - Cornell University

people.orie.cornell.edu

Neural Networks and Statistical Models Proceedings of the Nineteenth Annual SAS Users Group International Conference, April, 1994 Warren S. Sarle, SAS Institute Inc., Cary, NC, USA ... good elementary discussionof a variety of classification methods including statistical and neural methods. For those interested in

International, Model, Statistical, Classification, Statistical models

Graphical Models, Exponential Families, and Variational ...

people.eecs.berkeley.edu

Graphical models bring together graph theory and probability theory in a powerful formalism for multivariate statistical modeling. In vari-ous applied ﬁelds including bioinformatics, speech processing, image processing and control theory, statistical models have long been for-mulated in terms of graphs, and algorithms for computing basic statis-

Model, Statistical, Statistical models

Noise-contrastive estimation: A new estimation principle ...

proceedings.mlr.press

Estimation of unnormalized parameterized statistical models is a computationally diﬃcult problem. Here, we propose a new principle for estimating such models. Appearing in Proceedings of the 13th International Con-ference on Artiﬁcial Intelligence and Statistics (AISTATS) 2010, Chia Laguna Resort, Sardinia, Italy. Volume 9 of JMLR: W&CP 9.

Model, Statistical, Noise, Estimation, Contrastive, Noise contrastive estimation, Statistical models

A General Approach to Causal Mediation Analysis

imai.fas.harvard.edu

approach that overcomes these limitations. Our approach is general because it offers the deÞnition, identiÞcation, estimation, and sensitivity analysis of causal mediation effects without reference to any speciÞc statistical model. Further, our approach explicitly links these 4 elements closely together within a single framework.

Model, Approach, Statistical, Statistical models