Results 281 to 290 of about 340,402 (344)

Distributionally Robust Optimization and Robust Statistics

Statistical Science
We review distributionally robust optimization (DRO), a principled approach for constructing statistical estimators that hedge against the impact of deviations in the expected loss between the training and deployment environments.
José H. Blanchet, Jiajin Li, Sirui Lin, Xuhui Zhang   +3 more
semanticscholar   +1 more source

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, F. Yammarino, Shelley D. Dionne, Seth M. Spain   +3 more
semanticscholar   +1 more source

Latent Topic Text Representation Learning on Statistical Manifolds

IEEE Transactions on Neural Networks and Learning Systems, 2018
The explosive growth of text data requires effective methods to represent and classify these texts. Many text learning methods have been proposed, like statistics-based methods, semantic similarity methods, and deep learning methods. The statistics-based
Bingbing Jiang, Zhengyu Li, Huanhuan Chen, A. Cohn   +3 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

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

Topics in Statistical Inference [PDF]

, 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]

, 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.
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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
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Some Topics in Mathematical Statistics [PDF]

The 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 ...
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Topics in Statistical Inference

1979
In the preceding chapters, we have based inferences about an unknown parameter θ on the likelihood function itself (Chapters 9 and 10) or on tests of significance (Chapters 13, 14 and 15). These tests were themselves closely related to the likelihood function through the use of sufficient statistics and the likelihood ratio criterion. In Sections 1 and
openaire   +2 more sources