Results 311 to 320 of about 1,692,958 (373)

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

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

Statistical Topics in the Laboratory Sciences

2007
This chapter concerns statistical concepts and procedures that are applicable to diagnostic testing performed in the clinical laboratory. Three important laboratory issues are addressed: the estimation of analytical imprecision, the design of an effective laboratory quality control strategy, and the establishment of population reference ranges.
openaire   +2 more sources

Topics in statistical mechanics

2023
Ce volume a pour but de donner un aperçu des « États de la recherche en Mécanique Statistique », organisés par la Société Mathématique de France en 2018, à l'Institut Henri Poincaré (Paris). La conférence a été un franc succès, rassemblant 125 mathématiciennes et mathématiciens de niveau master à celui de chercheuses et chercheurs confirmés.
Boutillier, Cédric, de Tilière, Béatrice, Raschel, Kilian   +2 more
openaire   +1 more source

Topics in Statistical Inference

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

Topics in statistical finance

2008
This thesis is divided into three parts. The first part investigates the presence of long term dependence in stock price data via a permutation test based on the correlation structure of the underlying stock prices. These tests reveal the short term nature of stock price dependence structure.
openaire   +1 more source

A comprehensive review of Bayesian statistics in natural hazards engineering

Natural Hazards, 2021
Ye Zheng, Yazhou Xie, Xuejiao Long
semanticscholar   +1 more source

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   +1 more source