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Multilevel Methods and Statistics: The Next Frontier

, 2020
The purpose of this article is to take stock of extant multilevel methodological and statistical work and highlight needed areas for future research.
Rory Eckardt   +3 more
semanticscholar   +1 more source

Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words

VS@HLT-NAACL, 2015
We present an unsupervised topic model for short texts that performs soft clustering over distributed representations of words. We model the low-dimensional semantic vector space represented by the dense distributed representations of words using ...
V. Sridhar
semanticscholar   +1 more source

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

European Conference on Computer Vision, 2020
As realistic facial manipulation technologies have achieved remarkable progress, social concerns about potential malicious abuse of these technologies bring out an emerging research topic of face forgery detection.
Yuyang Qian   +4 more
semanticscholar   +1 more source

Topics in the Foundation of Statistics

1997
Foundations of Science - Discussion:- A Philosophical Approach to Foundations of Science B. van Fraassen. A Pluralistic View of Foundations of Science P. Suppes. The Foundation of Science A. Collen. The Foundation of Statistics:- Some Issues in the Foundation of Statistics D. Freedman. Rejoinder D. Freedman.
C Bastiaan, Van Fraassen
openaire   +2 more sources

An Introduction to Mathematical Statistics and Its Applications: Fifth Edition

, 2017
Are you looking to uncover an introduction to mathematical statistics and its applications 6th edition Digitalbook. Correct here it is possible to locate as well as download an introduction to mathematical statistics and its applications 6th edition Book.
Jane L. Harvill
semanticscholar   +1 more source

Topics in Statistical Inference [PDF]

open access: possible, 1994
Regression Function. In many practical situations one investigates the dependence of a quantity on an other quantity, or quantities. An example of it is the dependence of the petrol consumption on the driving speed of a car. However, the main interest of mathematical statistics does not lie in the study of functional dependences of the form $$y = f\
openaire   +1 more source

The statistics of topic modelling. [PDF]

open access: possible, 2015
This research project aims to provide a clear and concise guide to latent dirichlet allocation which is a form of topic modelling. The aim is to help researchers who do not have a strong background in mathematics or statistics to feel comfortable with using topic modelling in their work.
openaire   +2 more sources

Item Response Theory

Assessing Measurement Invariance for Applied Research, 2010
This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences.
Christine E. DeMars
semanticscholar   +1 more source

Some Leftover Statistical Topics

American Journal of EEG Technology, 1995
ABSTRACT.Terms used in multivariate statistics are described, with examples of their usage. Included are descriptions of Bonferroni adjustment, Mahalanobis distance, neurometries, multiple correlation, multiple regression, stepwise regression, discriminant function analysis, logistic regression, multivariate analysis of variance, cluster analysis ...
Michael Cavallaro, Linda Fidell
openaire   +2 more sources

Some Topics in Mathematical Statistics [PDF]

open access: possibleThe American Mathematical Monthly, 1939
1. Fundamental notions and definitions. First courses in statistics deal largely with descriptive characterizations of quantitative data. When N observations on one or more variables are available, such characterizations consist in computing the numerical values of certain functions, such as the mean, variance, and correlation coefficient, denoted ...
openaire   +1 more source

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