View:

- no detail
- some detail
- full detail

## Theory Unification and Graphical Models in Human Categorization

*David Danks*

### in Causal Learning: Psychology, Philosophy, and Computation

- Published in print:
- 2007
- Published Online:
- April 2010
- ISBN:
- 9780195176803
- eISBN:
- 9780199958511
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195176803.003.0012
- Subject:
- Psychology, Developmental Psychology

Many different, seemingly mutually exclusive, theories of categorization have been proposed in recent years. The most notable theories have been those based on prototypes, exemplars, and causal ... More

## Some topics in social statistics

*David Firth*

### in Celebrating Statistics: Papers in honour of Sir David Cox on his 80th birthday

- Published in print:
- 2005
- Published Online:
- September 2007
- ISBN:
- 9780198566540
- eISBN:
- 9780191718038
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198566540.003.0008
- Subject:
- Mathematics, Probability / Statistics

This chapter summarizes recent themes and research topics in social statistics, viewed as statistical methods of particular value in substantive research fields such as criminology, demography, ... More

## Potential effects of a keystone species on the dynamics of sylvatic plague

*Chris Ray and Sharon K. Collinge*

### in Disease Ecology: Community structure and pathogen dynamics

- Published in print:
- 2006
- Published Online:
- September 2007
- ISBN:
- 9780198567080
- eISBN:
- 9780191717871
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198567080.003.0014
- Subject:
- Biology, Disease Ecology / Epidemiology

Plague is emerging as a threat to humans and wildlife throughout western North America. Sylvatic plague, caused by the bacterium Yersinia pestis, is maintained within a network of mammal species and ... More

## Approximating Max‐Sum‐Product Problems using Multiplicative Error Bounds

*Christopher Meek and Ydo Wexler*

### in Bayesian Statistics 9

- Published in print:
- 2011
- Published Online:
- January 2012
- ISBN:
- 9780199694587
- eISBN:
- 9780191731921
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199694587.003.0015
- Subject:
- Mathematics, Probability / Statistics

We describe the Multiplicative Approximation Scheme (MAS) for approximate inference in multiplicative models. We apply this scheme to develop the DynaDecomp approximation algorithm. This algorithm ... More

## Modeling Linkage Disequilibrium with Decomposable Graphical Models

*Haley J. Abel and Alun Thomas*

### in Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

- Published in print:
- 2014
- Published Online:
- December 2014
- ISBN:
- 9780198709022
- eISBN:
- 9780191779619
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198709022.003.0010
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

This chapter describes the use of decomposable graphical models (DGMs) to represent the dependences within genetic data, or linkage disequilibrium (LD), prior to various downstream applications. ... More

## Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs *

*Guido Consonni and Luca La Rocca*

### in Bayesian Statistics 9

- Published in print:
- 2011
- Published Online:
- January 2012
- ISBN:
- 9780199694587
- eISBN:
- 9780191731921
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199694587.003.0004
- Subject:
- Mathematics, Probability / Statistics

We propose a new method for the objective comparison of two nested models based on non‐local priors. More specifically, starting with a default prior under each of the two models, we construct a ... More

## Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

*Raphaël Mourad (ed.)*

- Published in print:
- 2014
- Published Online:
- December 2014
- ISBN:
- 9780198709022
- eISBN:
- 9780191779619
- Item type:
- book

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198709022.001.0001
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

At the crossroads between statistics and machine learning, probabilistic graphical models provide a powerful formal framework to model complex data. Probabilistic graphical models are probabilistic ... More

## Essentials to Understand Probabilistic Graphical Models: A Tutorial about Inference and Learning

*Christine Sinoquet*

### in Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

- Published in print:
- 2014
- Published Online:
- December 2014
- ISBN:
- 9780198709022
- eISBN:
- 9780191779619
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198709022.003.0002
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

The aim of this chapter is to offer an advanced tutorial to scientists with no background or no deep background on probabilistic graphical models. To readers more familiar with these models, this ... More

## Network Inference in Breast Cancer with Gaussian Graphical Models and Extensions

*Marine Jeanmougin, Camille Charbonnier, Mickaël Guedj, and Julien Chiquet*

### in Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

- Published in print:
- 2014
- Published Online:
- December 2014
- ISBN:
- 9780198709022
- eISBN:
- 9780191779619
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198709022.003.0005
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

Clustering genes with high correlations will group genes with close expression profiles, defining clusters of co-expressed genes. However, such correlations do not provide any clue on the chain of ... More

## Probabilistic Graphical Models for Next-generation Genomics and Genetics

*Christine Sinoquet*

### in Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

- Published in print:
- 2014
- Published Online:
- December 2014
- ISBN:
- 9780198709022
- eISBN:
- 9780191779619
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198709022.003.0001
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

The explosion in omics and other types of biological data has increased the demand for solid, large-scale statistical methods. These data can be discrete or continuous, dependent or independent, from ... More

## Graphical Models and Multivariate Analysis of Microarray Data

*Harri Kiiveri*

### in Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

- Published in print:
- 2014
- Published Online:
- December 2014
- ISBN:
- 9780198709022
- eISBN:
- 9780191779619
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198709022.003.0003
- Subject:
- Mathematics, Probability / Statistics, Biostatistics

The usual analysis of gene expression data ignores the correlation between gene expression values. Biologically, this assumption is unreasonable. The approach presented in this chapter allows for ... More

## Statistical inference with probabilistic graphical models

*Devavrat Shah*

### in Statistical Physics, Optimization, Inference, and Message-Passing Algorithms: Lecture Notes of the Les Houches School of Physics: Special Issue, October 2013

- Published in print:
- 2015
- Published Online:
- March 2016
- ISBN:
- 9780198743736
- eISBN:
- 9780191803802
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198743736.003.0001
- Subject:
- Physics, Theoretical, Computational, and Statistical Physics

This chapter introduces graphical models as a powerful tool to derive efficient algorithms for inference problems. When dealing with complex interdependent variables, inference problems may become of ... More

## Alternative Graphical Causal Models and the Identification of Direct Effects

*James M. Robins and Thomas S. Richardson*

### in Causality and Psychopathology: Finding the Determinants of Disorders and their Cures

- Published in print:
- 2011
- Published Online:
- November 2020
- ISBN:
- 9780199754649
- eISBN:
- 9780197565650
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780199754649.003.0011
- Subject:
- Clinical Medicine and Allied Health, Psychiatry

The subject-specific data from either an observational or experimental study consist of a string of numbers. These numbers represent a series of empirical measurements. Calculations are performed ... More

## Advanced Sequence Analysis

*Magy Seif El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, and Anders Drachen*

### in Game Data Science

- Published in print:
- 2021
- Published Online:
- November 2021
- ISBN:
- 9780192897879
- eISBN:
- 9780191919466
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780192897879.003.0011
- Subject:
- Computer Science, Human-Computer Interaction, Game Studies

This chapter discusses more advanced methods for sequence analysis. These include: probabilistic methods using classical planning, Bayesian Networks (BN), Dynamic Bayesian Networks (DBNs), Hidden ... More

## A Taxonomy for Semi-Supervised Learning Methods

*Seeger Matthias*

### in Semi-Supervised Learning

- Published in print:
- 2006
- Published Online:
- August 2013
- ISBN:
- 9780262033589
- eISBN:
- 9780262255899
- Item type:
- chapter

- Publisher:
- The MIT Press
- DOI:
- 10.7551/mitpress/9780262033589.003.0002
- Subject:
- Computer Science, Machine Learning

This chapter proposes a simple taxonomy of probabilistic graphical models for the semi-supervised learning (SSL) problem. It provides some broad classes of algorithms for each of the families and ... More

## Cavity method: message-passing from a physics perspective

*Marc Mézard*

### in Statistical Physics, Optimization, Inference, and Message-Passing Algorithms: Lecture Notes of the Les Houches School of Physics: Special Issue, October 2013

- Published in print:
- 2015
- Published Online:
- March 2016
- ISBN:
- 9780198743736
- eISBN:
- 9780191803802
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198743736.003.0004
- Subject:
- Physics, Theoretical, Computational, and Statistical Physics

The cavity method is introduced as a heuristic framework from a physics perspective to solve probabilistic graphical models and is presented at both the replica symmetry (RS) and one-step replica ... More

## Top-Down Predictions Determine Perceptions

*Martin V. Butz and Esther F. Kutter*

### in How the Mind Comes into Being: Introducing Cognitive Science from a Functional and Computational Perspective

- Published in print:
- 2017
- Published Online:
- July 2017
- ISBN:
- 9780198739692
- eISBN:
- 9780191834462
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198739692.003.0009
- Subject:
- Psychology, Cognitive Models and Architectures, Cognitive Psychology

While bottom-up visual processing is important, the brain integrates this information with top-down, generative expectations from very early on in the visual processing hierarchy. Indeed, our brain ... More

View:

- no detail
- some detail
- full detail