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online

Overview page. Subjects: Computing.

When a computer or a user is directly connected into a network and is capable of interacting with it, for example by querying the contents of a database.

See overview in Oxford Index

Online Bayesian learning in dynamic models: an illustrative introduction to particle methods

Hedibert F Lopes and Carlos M Carvalho.

in Bayesian Theory and Applications

January 2013; p ublished online May 2013 .

Chapter. Subjects: Probability and Statistics. 11659 words.

This chapter provides a step-by-step review of Monte Carlo (MC) methods for filtering in general nonlinear and non-Gaussian dynamic models, also known as state-space models or hidden Markov...

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recommender systems

Graham Upton and Ian Cook.

in A Dictionary of Statistics

January 2014; p ublished online September 2014 .

Reference Entry. Subjects: Probability and Statistics. 38 words.

*Algorithms and procedures that recommend items that may be suitable for a consumer. Much used in online sales, the techniques involved include ...

Semi-supervised classification of texts using particle learning for probabilistic automata

ANA PAULA SALES, CHRISTOPHER CHALLIS, RYAN PRENGER and DANIEL MERL.

in Bayesian Theory and Applications

January 2013; p ublished online May 2013 .

Chapter. Subjects: Probability and Statistics. 8050 words.

This chapter presents a novel online learning system for classification of email texts based on particle learning for composite mixture models involving probabilistic automata. The...

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Efficient scalable schemes for monitoring a large number of data streams

Y. Mei.

in Biometrika

June 2010; p ublished online April 2010 .

Journal Article. Subjects: Probability and Statistics. 0 words.

The sequential changepoint detection problem is studied in the context of global online monitoring of a large number of independent data streams. We are interested in detecting an occurring...

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Fast methods for spatially correlated multilevel functional data

Ana-Maria Staicu, Ciprian M. Crainiceanu and Raymond J. Carroll.

in Biostatistics

April 2010; p ublished online January 2010 .

Journal Article. Subjects: Probability and Statistics. 7760 words.

We propose a new methodological framework for the analysis of hierarchical functional data when the functions at the lowest level of the hierarchy are correlated. For small data sets, our...

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Benford's Law

Edited by Steven J. Miller.

May 2015; p ublished online October 2017 .

Book. Subjects: Probability and Statistics. 464 pages.

Benford's law states that the leading digits of many data sets are not uniformly distributed from one through nine, but rather exhibit a profound bias. This bias is evident in everything...

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High-dimensional volatility matrix estimation via wavelets and thresholding

P. Fryzlewicz.

in Biometrika

December 2013; p ublished online August 2013 .

Journal Article. Subjects: Probability and Statistics. 0 words.

We propose a locally stationary linear model for the evolution of high-dimensional financial returns, where the time-varying volatility matrix is modelled as a piecewise-constant function...

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Functional mixture regression

Fang Yao, Yuejiao Fu and Thomas C. M. Lee.

in Biostatistics

April 2011; p ublished online October 2010 .

Journal Article. Subjects: Probability and Statistics. 4711 words.

In functional linear models (FLMs), the relationship between the scalar response and the functional predictor process is often assumed to be identical for all subjects. Motivated by both...

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A dynamic approach for reconstructing missing longitudinal data using the linear increments model

Odd O. Aalen and Nina Gunnes.

in Biostatistics

July 2010; p ublished online July 2010 .

Journal Article. Subjects: Probability and Statistics. 7682 words.

Missing observations are commonplace in longitudinal data. We discuss how to model and analyze such data in a dynamic framework, that is, taking into consideration the time structure of the...

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Bayesian profile regression with an application to the National survey of children's health

John Molitor, Michail Papathomas, Michael Jerrett and Sylvia Richardson.

in Biostatistics

July 2010; p ublished online July 2010 .

Journal Article. Subjects: Probability and Statistics. 6152 words.

Standard regression analyses are often plagued with problems encountered when one tries to make inference going beyond main effects using data sets that contain dozens of variables that are...

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Relative risk regression: reliable and flexible methods for log-binomial models

Ian C. Marschner and Alexandra C. Gillett.

in Biostatistics

January 2012; p ublished online September 2011 .

Journal Article. Subjects: Probability and Statistics. 4956 words.

Relative risks (RRs) are generally considered preferable to odds ratios in prospective studies. However, unlike logistic regression for odds ratios, the standard log-binomial model for RR...

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A survival analysis approach to modeling human fecundity

Rajeshwari Sundaram, Alexander C. McLain and Germaine M. Buck Louis.

in Biostatistics

January 2012; p ublished online June 2011 .

Journal Article. Subjects: Probability and Statistics. 4405 words.

Understanding conception probabilities is important not only for helping couples to achieve pregnancy but also in identifying acute or chronic reproductive toxicants that affect the highly...

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Customer journeys and Markov chains

Peter Grindrod CBE.

in Mathematical Underpinnings of Analytics

November 2014; p ublished online March 2015 .

Chapter. Subjects: Mathematics; Probability and Statistics. 10296 words.

This chapter considers Markov models for customer behavioural change and hence customer value change based on longitudinal customer data. It considers the use of genetic algorithms in...

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Introduction

Peter Grindrod CBE.

in Mathematical Underpinnings of Analytics

November 2014; p ublished online March 2015 .

Chapter. Subjects: Mathematics; Probability and Statistics. 3887 words.

matanaAnalysismatproProbability / Statistics

Mathematical Underpinnings of Analytics. First Edition. Peter Grindrod.

© Peter Grindrod 2015. Published in 2015 by Oxford University...

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An empirical Bayes test for allelic-imbalance detection in ChIP-seq

Qi Zhang and Sündüz Keleş.

in Biostatistics

October 2018; p ublished online November 2017 .

Journal Article. Subjects: Biomathematics and Statistics; Probability and Statistics. 7637 words.

SUMMARY

Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) has enabled discovery of genomic regions enriched with biological...